Machine operator Jobs

<p>Description de l'entreprise Rejoignez un h tel membre du r seau Accor, dont le groupe r unit plus de 5 500 h tels, 10 000 restaurants et destinations lifestyle, dans 110 pays. Ici, nous croyons en vous et en ce que vous apportez. Les opportunit s de d veloppement et d' volution sont nombreuses. Chaque projet, chaque action contribue cr er un impact positif et m morable pour nos clients, nos coll gues et aussi pour notre plan te. Ensemble, nous incarnons la vision de lhospitalit responsable. Devenez un Heartist , et laissez votre c ur vous guider dans ce monde o la vie bat plus fort.</p><p>Description du poste Il/Elle doit assurer un accueil et un service irr prochables aux clients de larrive au d part, superviser lensemble des oprations de la rception, et piloter la mise en place du d partement Front Office dans le cadre de la pr -ouverture de lh tel.</p><p>Missions Principales :</p><ul><li>Participer au recrutement et la formation des quipes de rception, concierge et standard.</li><li>Mettre en place les SOP Front Office (check-in/check-out, gestion des rclamations, programme de fidlit Sofitel).</li><li>Prparer les procdures durgence et de scurit applicables la rception.</li><li>Superviser les oprations daccueil, denregistrement et de d part des clients.</li><li>Garantir un service personnalis conforme aux standards Sofitel.</li><li>Grer les rclamations clients et assurer un suivi jusqu r solution complte.</li><li>Optimiser le taux doccupation en coordination avec les Rservations et le Revenue Management.</li><li>laborer les plannings des quipes et garantir une couverture 24h/24.</li><li>Suivre les indicateurs de performance (satisfaction client, upselling, dlais dattente).</li><li>Encadrer et valuer les quipes de rception.</li><li>Grer la caisse, la facturation et les procdures de contrle interne.</li></ul><p>We are much more than a world leader. We are 240,000 hoteliers with the same shared passion for welcoming. We take care of millions of guests in our 4,100 addresses and on our digital platforms. As an operator and franchisor (HotelServices), owner and investor (HotelInvest), we invest all our energy into making “Feel Welcome” resonate as the finest hotel promise.</p><p>From luxury to economy and in every corner of the globe, AccorHotels' 20 brands meet all the needs of business and leisure travelers seeking comfort, attention and high-quality services.</p><p>Our Brands include:</p><ul><li>-Raffles</li><li>-Fairmont</li><li>-Sofitel</li><li>-MGallery</li><li>-Grand Mercure</li><li>-Pullman</li><li>-Swissôtel</li><li>-Novotel</li><li>-Suite Novotel</li><li>-Mercure</li><li>-Thalassa sea &amp; spa</li><li>-Adagio</li><li>-ibis</li><li>-ibis Styles</li><li>-ibis budget</li><li>-HotelF1-</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Profil Recherch :</h2><ul><li>Diplme en h tellerie, tourisme ou gestion h teli re ou quivalent .</li><li>Exprience confirme (5 ans minimum) en Front Office, id alement en h tel de luxe.</li><li>Exprience en pr -ouverture d h tel fortement appr ci e.</li><li>Ma trise du fran ais et de larabe ; anglais courant indispensable.</li><li>Ma trise des syst mes PMS (Opera), outils de r servation et de facturation.</li><li>Connaissance des standards de service de luxe et des procdures de scurit h teli re.</li><li>Excellent sens du relationnel, leadership, diplomatie et sang-froid.</li><li>R activit et capacit travailler sous pression, notamment en contexte douverture d h tel.</li></ul>

<p>Perform the main tasks of driving and operating various types of heavy project equipment for digging, earthmoving, leveling, or extraction, according to safety regulations.</p><p>May transport materials, minerals, or debris to designated project locations. May be responsible for transporting the equipment to the project using a carrier vehicle.</p><p><strong>Responsibilities:</strong></p><ul><li>Communicate to management any risks that could compromise the exercise of their activity, and implement appropriate actions in accordance with guidelines.</li><li>Perform equipment maintenance and verify its operation.</li><li>Carry out all technical checks of the day every morning.</li><li>Ensure possession of circulation documents.</li><li>Upon instruction from their Manager, become familiar with the work to be performed.</li><li>Perform equipment maintenance and verify its operation.</li><li>Maneuver the equipment according to the terrain and the work to be carried out.</li><li>Slope soils or excavate slopes and verges, dig tunnels.</li><li>Excavate the support (leveling the trench, flat formation, curved, bottom of excavation...) in the area.</li><li>Level the ground (verge, ditch, road...) according to the staking points.</li><li>Collect, load, and transport extraction materials and debris.</li><li>Restore the finished project to a natural appearance (embankments, surface...).</li><li>Ensure the movement and transport of products to the designated locations.</li><li>Ensure the interior and exterior washing and regular maintenance of the equipment and may be required to perform simple repairs.</li><li>Restore the finished project to a natural appearance (embankments, surface...).</li></ul><p><strong>QHSE Matters:</strong></p><ul><li>Respect the general safety instructions and rules in force within the Company and on the Project site.</li><li>Apply the procedures and rules dictated within the framework of the Integrated Management System.</li><li>Wear the appropriate collective and individual protection equipment (EPC and EPI) at the project level.</li><li>Respect the safety instructions formulated by the manufacturer, contained in the equipment or machine operating manual.</li><li>Check the condition of the equipment to ensure the absence of any failure that could compromise safety and/or the environment and report any anomaly observed.</li><li>Maintain their equipment after each use, check and report any leaks (water, fuel, oil...) to avoid waste and environmental pollution.</li><li>Drive, operate, and use their equipment professionally, with caution... and in strict compliance with safety regulations.</li><li>Communicate any malfunction or relevant information related to the activity to their management.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>General training: PL, SR license, good physical condition.</p><p>Professional training: Certificate of Aptitude for Safe Driving, certificate of aptitude for operating machinery.</p><p>Professional experience: 05 years.</p><p>Immediate availability.</p><p><br></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Yassir is the leading super App for on demand, ride-hailing, last-mile delivery, payment services and more, set to change the way daily services are provided. It currently operates in 45 cities across multiple countries. It has already raised $150 million in Series B funding, five times what it raised in its previous round. The raise was with world class investors such as BOND and Y Combinator, which is the precursor of the likes of Airbnb, Stripe, Dropbox, Doordash, among others. We re not just about serving people - we re about creating a marketplace to bring people what they need while infusing social values. We believe that investing in AI will result in scaling our company to create unique value for each and every one of our customers. We are looking for an experienced Product Manager to lead our Artificial Intelligence (AI) initiatives. You will join the team that leads and owns the Product vision and roadmap for AI at Yassir, and you will drive the transformation towards having our marketplace optimized by AI. The AI team works closely with all domains (ride-hailing, delivery, financial services) and joining our team requires challenging the status quo, finding visionary value creation opportunities, and reinventing customer experiences through innovative and pioneering use of AI.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>3+ years experience as a Product Manager solving business problems using AI/ML products.</li><li>Demonstrated proficiency in AI technologies, Machine Learning concepts, and a strong technical understanding to effectively communicate and collaborate with development teams.</li><li>Successful track-track record managing Products across remote teams.</li><li>Experience in a rapidly growing company in the mobility, on-demand, or delivery space is a plus.</li><li>BSc/MSc in Engineering, Computer Science, Data Science, or relevant field.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsibilities: Ensure transport by collecting delivery slips and delivery/loading addresses. Estimate the amount of fuel required and travel time. Ensure formalities and comply with traffic and transport regulations. Check the condition of the vehicle equipment: brakes, steering, horn, mirrors, wheels, tires, suspension, wipers, lashing devices, etc. Monitor and participate in loading and unloading the vehicle using various mechanical handling equipment, such as ramps, cranes, pallet trucks, etc. Distribute the load judiciously and check that the maximum load per axle is not exceeded. Secure the goods, protect them from bad weather, and ensure they are not damaged. Drive a truck in very variable conditions, depending on the nature of the terrain, roads, load, weather conditions, etc. Complete administrative formalities: delivery notes, purchase orders, invoices, etc. Ensure regular maintenance of the vehicle, wash it and keep it in good working order. Regularly carry out checks and verifications, carry out routine repairs, replace defective parts. In case of breakdown or getting stuck, take effective measures for towing and urgent repairs.</p><p>In terms of QHSE: Comply with the general safety instructions and rules in force within the Company, on the road, and on the Project site. Apply the procedures and rules dictated within the Integrated Management System. Wear appropriate collective and individual protection equipment (E.P.C and E.P.I) at the project level. Comply with the safety instructions formulated by the manufacturer, contained in the equipment or machine user manual. Check the condition of the equipment before use, to ensure the absence of any defect that could harm safety and/or the environment, and report any anomaly observed. Drive, handle, and use equipment professionally, cautiously, and in strict compliance with safety rules.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><b>Qualifications</b>:</p><ul><li>General Training: 4 AM</li><li>Professional Training: Heavy goods vehicle license</li><li>Professional Experience: 3 years</li><li>Availability: Immediate</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> What you´ll do </span><p>Sets direction and vision for the Cell based on the Site CBN and the Operations strategy<br> Lead and coach the Operators&nbsp;<br> Accountable for the development of the Operators according to the respective Skill Matrices<br> Acts as a role model for Safety, Quality, lives and embraces Henkels values<br> Own and execute the daily/weekly/monthly L-DOR meeting and escalate need for help to the C-DOR meeting (via Cell Manager ). Ensures all the gaps/ losses are correctly addressed to specific resources and properly completed<br> Attend to the L-DOR meeting(s) every morning .<br> Be part (hands-on) of most difficult Problem Solving on Chronic losses<br> Coach the team in daily DMS execution (SIM, AM, PM, PS, …) and act on deviations<br> Support and manage the development and continuous improvement of standard work for all areas of the cell.<br> Work closely with the Process Engineer ,&nbsp; Quality, VSU Leader, Training Manager and HPS Engineer&nbsp; to analyze current performance and establish work activities to address losses<br> Review team questions and ideas<br> Provide support and resolve conflicts making sure the team can perform their tasks<br> Have 1:1 with all your direct report on a weekly or biweekly basis<br> Owns SIM<br> OTHER EXPECTATIONS<br> Strong process knowledge of the HPS Pillars: AM, PM.<br> Spend 80% of the time coaching on the floor<br> Ensure strict enforcement of safety and hygiene rules and instructions within their workshop or department.<br> § Ensure the wearing of the appropriate clothing and personal protective equipment provided to their staff and/or personnel working in their workshop or department.<br> § Ensure compliance with collective safety measures.<br> § Enforce the company's internal regulations, in particular the chapters relating to the SHE, as well as any notes or instructions dealing with this subject.<br> § Use any authority to stop any risky situation they observe within their area of authority.<br> § Inform their superiors, in a written report, of any breach or violation of safety rules and instructions by their staff, even those that have not caused a workplace accident.<br> § Comply with regulations relating to discharges.<br> § Comply with regulations relating to waste. § Comply with the issued SHE guidelines.<br> § Apply the instructions provided for AES management.<br> § Consult the WRA list.<br> § Participate in the continuous improvement of the ISO 9001, 14001, 45001, and 50001 management system.</p><br> <br><br> What makes you a good fit <ul> <li>General Education: Engineer (Industrial Process, Food Processing, etc.)<br> Professional Experience: 4 to 6 Years<br> Strong teamwork skills<br> Good interpersonal skills and the ability to manage personnel working on their machine<br> Knowledge of various production equipment<br> Meticulous execution<br> Ability to meet production objectives</li> </ul> Some perks of joining Henkel <ul> <li>Global wellbeing standards with health and preventive care programs</li> <li>Gender-neutral parental leave for a minimum of 8 weeks</li> <li>Employee Share Plan with voluntary investment and Henkel matching shares</li> <li>Attractive Medical Insurance for employees and dependents</li> <li>Competitive Religious Allowances</li> <li>Life Insurance</li> <li>Henkel Products / quarterly</li> </ul> <p>At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.</p><br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> For this project, tasks are estimated to require around 25-30 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> For this project, tasks are estimated to require around 25-30 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a visionary Analytics Manager to lead and expand our analytics capabilities. This pivotal role will oversee a dynamic team of business intelligence specialists and data analysts who are responsible for delivering actionable insights across Yassir's ecosystem. You will be a key player in shaping Yassir's data-driven strategy, enabling business growth, improving operational efficiency, and enhancing customer satisfaction across our ride-hailing, food delivery, and financial services verticals.</p><p>Key Responsibilities:</p><ul><li>Strategic Leadership: Develop and implement Yassir's analytics strategy, ensuring alignment with business objectives across diverse markets. Build and scale a robust analytics framework to support strategic decision-making across product, operations, marketing, and finance.</li><li>Team Development and Management: Lead, mentor, and inspire a team of data analysts and BI professionals, fostering a culture of collaboration and innovation. Ensure professional development and alignment of team goals with Yassir's mission and business priorities. Establish best practices for data governance, reporting, and visualization.</li><li>Insights and Decision Support: Collaborate with leadership and functional teams to translate business challenges into analytics-driven solutions. Oversee the creation of dashboards, KPIs, and ad hoc analyses to support product optimization, operational excellence, and customer retention. Drive the adoption of self-service analytics tools to democratize data access and empower stakeholders across the organization.</li><li>Operational Excellence: Partner with data engineering to ensure the quality, integrity, and scalability of Yassir's data infrastructure. Manage and prioritize analytics initiatives, ensuring timely delivery and measurable impact.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>What We're Looking For:</strong></p><ul><li><strong>Experience:</strong> 8+ years in analytics, business intelligence, or similar roles, with at least 3 years managing teams. Experience scaling analytics functions in fast-paced, high-growth environments, ideally within tech or platform businesses.</li><li><strong>Technical Expertise:</strong> Proficiency in analytics tools (e.g., SQL, Tableau, Looker, or Power BI). Familiarity with data warehousing solutions (e.g., Snowflake, BigQuery) and ETL processes. Strong analytical skills and a proven ability to convert data into actionable insights.</li><li><strong>Leadership and Collaboration:</strong> Exceptional communication and stakeholder management skills to align technical teams and business leaders. Experience leading multicultural teams across diverse geographies. Proven track record of hiring, retaining and growing top talent in various data-related disciplines</li><li><strong>Education:</strong> Master's degree in computer science, Statistics, Economics, or related fields; advanced degrees are a plus.</li><li><strong>Nice-to-Have:</strong> Proficiency working in French. Experience in ride-hailing, food delivery, or fintech industries. Knowledge of advanced analytics techniques, including machine learning or predictive modeling. Experience working in the geographies where Yassir operates.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><br>POSITION SUMMARY<br>Direct and assist Stewards in order to make clean up more efficient. Ensure water temperature, and chemical levels are appropriate for cleaning and documented. Assist with Banquet plate-ups. Assist cooks and kitchen staff with various tasks as needed. Provide cooks with needed items. Support banquet and buffet by transporting and ensuring adequate stock. Return cleaned items to proper locations. Operate and maintain cleaning equipment and tools, including the dish washing machine, hand wash stations pot-scrubbing station, and trash compactor.<br>Assist management in hiring, training, scheduling, evaluating, counseling, disciplining, and motivating and coaching employees. Follow all company and safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Welcome and acknowledge all guests according to company standards; anticipate and address guests’ service needs. Speak with others using clear and professional language. Develop and maintain positive working relationships with others; support team to reach common goals. Ensure adherence to quality expectations and standards. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance. Stand, sit, or walk for an extended period of time. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Move over sloping, uneven, or slippery surfaces. Perform other reasonable job duties as requested by Supervisors.<br>PREFERRED QUALIFICATIONS<br>Education: High school diploma or G.E.D. equivalent.<br>Related Work Experience: At least 2 years of related work experience.<br>Supervisory Experience: At least 1 year of supervisory experience.<br>License or Certification: None<br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.<br>Marriott Hotels strive to elevate the art of hospitality, innovating at every opportunity while keeping the comfort of the oh-so-familiar all around the globe. As a host with Marriott Hotels, you will help keep the promise of “Wonderful Hospitality. Always.” by delivering thoughtful, heartfelt, forward-thinking service that upholds and builds upon this living legacy. With the name that’s synonymous with hospitality the world over, we are proud to welcome you to explore a career with Marriott Hotels. In joining Marriott Hotels, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you. <br>JW Marriott&nbsp;is part of Marriott International's luxury portfolio and consists of more than 100 beautiful properties in gateway cities and distinctive resort locations around the world. JW believes our associates come first. Because if you’re happy, our guests will be happy. JW Marriott associates are confident, innovative, genuine, intuitive, and carry on the legacy of the brand’s namesake and company founder, J.Willard Marriott. Our hotels offer a work experience unlike any other, where you’ll be part of a community and enjoy true camaraderie with a diverse group of co-workers. JW creates opportunities for training, development, recognition and most importantly, a place where you can pursue your passions in a luxury environment with a focus on holistic well-being. Treating guests exceptionally starts with the way we take care of our associates. That’s The JW Treatment™. In joining JW Marriott, you join a portfolio of brands with Marriott International. Be where you can do your best work,​ begin&nbsp;your purpose,&nbsp;belong&nbsp;to an amazing global​&nbsp;team, and&nbsp;become&nbsp;the best version of you.</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir s most critical problems.</p><p>The Data Analytics team is part of Yassir s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>2-5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role.</li><li>Strong SQL skills and practical experience working with large-scale customer and transaction datasets.</li><li>Proficiency in Python for data analysis, statistical modeling, and data visualization.</li><li>Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services.</li><li>Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making.</li><li>Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI.</li><li>Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders.</li><li>Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery.</li><li>Strong problem-solving, analytical thinking, and attention to detail.</li><li>Excellent written and verbal communication skills in English.</li></ul><p><strong>Nice to have</strong></p><ul><li>Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products.</li><li>Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics.</li><li>Exposure to machine learning, customer segmentation, or predictive analytics use cases.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> For this project, tasks are estimated to require around 25-30 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong><span>About Yassir</span></strong></p><br> <p><span>Yassir is the leading super App for on demand, ride-hailing, last-mile delivery, payment services and more, set to change the way daily services are provided. It currently operates in 45 cities across multiple countries. It has already raised $150 million in Series B funding, five times what it raised in its previous round. The raise was with world class investors such as BOND and Y Combinator, which is the precursor of the likes of Airbnb, Stripe, Dropbox, Doordash, among others.&nbsp;</span></p><br> <p><span>We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.&nbsp;</span></p><br> <p><span>We believe that investing in AI will result in scaling our company to create unique value for each and every one of our customers. </span><strong><span>We are looking for an experienced Product Manager to lead our Artificial Intelligence (AI) initiatives.</span></strong><span> You will join the team that leads and owns the Product vision and roadmap for AI at Yassir, and you will drive the transformation towards having our marketplace optimized by AI. The AI team works closely with all domains (ride-hailing, delivery, financial services) and joining our team requires challenging the status quo, finding visionary value creation opportunities, and reinventing customer experiences through innovative and pioneering use of AI.&nbsp;</span></p><br> <br> <strong><span>RESPONSIBILITIES</span></strong> <ul> <li> <p><span>Product Vision: craft a robust strategy to leverage AI at scale in Yassir, work with customers and app domains to understand the marketplace dynamics and identify the AI opportunities</span></p><br> </li> <li> <p><span>Product Lifecycle Management:</span><span> own the product roadmap and oversee its execution while balancing requirements across products and countries, and maintaining team health. </span><span>Manage the entire product lifecycle from ideation to launch and ongoing optimization.</span></p><br> </li> <li> <p><span>Data-Driven Decision-Making: Utilize data-driven insights to make informed decisions, track key performance indicators (KPIs), and iterate on product features to optimize performance and achieve business objectives. Be an ambassador for the power of Data and AI and contribute to making it a driver of success for the company and your co-workers.&nbsp;</span></p><br> </li> <li> <p><span>Stakeholder Management and Collaboration: foster strong ties with partner teams (across product, marketing, operations, etc.), communicate progress and results, anticipate roadblocks and align objectives across stakeholders.&nbsp;</span></p><br> </li> <li> <p><span>Leadership and Culture: Mentor co-workers, create a culture of feedback and trust building, and take an active role in your own growth and of the growth of people around you.&nbsp;</span></p><br> </li> </ul> <br> <strong><span>REQUIREMENTS</span></strong> <ul> <li> <p><span>3+ years experience as a Product Manager solving business problems using AI/ML products.</span></p><br> </li> <li> <p><span>Demonstrated proficiency in AI technologies, Machine Learning concepts, and a strong technical understanding to effectively communicate and collaborate with development teams.</span></p><br> </li> <li> <p><span>Successful track-record managing Products across remote teams.</span></p><br> </li> <li> <p><span>Experience in a rapidly growing company in the mobility, on-demand, or delivery space is a plus.</span></p><br> </li> <li> <p><span>BSc/MSc in Engineering, Computer Science, Data Science, or relevant field.</span></p><br> </li> </ul> <br> <strong><span>BENEFITS</span></strong> <ul> <li> <p><span>Great compensation and bonuses including stock options</span></p><br> </li> <li> <p><span>Blue sky opportunity with the team; shape the strategic direction of the company</span></p><br> </li> <li> <p><span>Sharp, motivated co-workers in a fun hybrid environment</span></p><br> </li> <li> <p><span>Paid company holidays</span></p><br> </li> </ul> <br> <strong><span>WHY YOU SHOULD JOIN YASSIR</span></strong> <ul> <li> <p><span>Join one of the fastest-growing tech companies in Africa</span></p><br> </li> <li> <p><span>Have a lasting impact on our company's culture</span></p><br> </li> <li> <p><span>Make a real impact on the world by helping us bring affordable financial and on-demand services to millions of Africans</span></p><br> </li> <li> <p><span>Work on some really hard technical challenges from identity infrastructure for Africans, digital payment networks to complex mapping and routing systems across the continent</span></p><br> </li> <li> <p><span>We are the first Algerian startup to go through Y Combinator program and we’re backed by top investors including Unpopular Ventures, Rebel Fund and </span><span>DainTree.VC</span></p><br> </li> </ul> <br> <p><span>Do you want to become part of our first-class team? You should definitely send us your application.&nbsp;</span></p><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Yassir</strong>&nbsp;is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in&nbsp;<strong>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</strong>. It is backed (~<strong>$200M in funding</strong>) by VCs from Silicon Valley, Europe and other parts of the world.<br> We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.<br> Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.<br> <strong>About the Role:&nbsp;</strong>We are seeking a visionary&nbsp;<strong>Analytics Manager</strong>&nbsp;to lead and expand our analytics capabilities. This pivotal role will oversee a dynamic team of business intelligence specialists and data analysts who are responsible for delivering actionable insights across Yassir’s ecosystem. You will be a key player in shaping Yassir’s data-driven strategy, enabling business growth, improving operational efficiency, and enhancing customer satisfaction across our ride-hailing, food delivery, and financial services verticals.<br> <br> <br> Key Responsibilities:<br> <ul> <li><strong><span>Strategic Leadership:</span></strong></li> <li>Develop and implement Yassir’s analytics strategy, ensuring alignment with business objectives across diverse markets.</li> <li>Build and scale a robust analytics framework to support strategic decision-making across product, operations, marketing, and finance.</li> <li><strong><span>Team Development and Management:</span></strong></li> <li>Lead, mentor, and inspire a team of data analysts and BI professionals, fostering a culture of collaboration and innovation.</li> <li>Ensure professional development and alignment of team goals with Yassir’s mission and business priorities.</li> <li>Establish best practices for data governance, reporting, and visualization.</li> <li><strong><span>Insights and Decision Support:</span></strong></li> <li>Collaborate with leadership and functional teams to translate business challenges into analytics-driven solutions.</li> <li>Oversee the creation of dashboards, KPIs, and ad hoc analyses to support product optimization, operational excellence, and customer retention.</li> <li>Drive the adoption of self-service analytics tools to democratize data access and empower stakeholders across the organization.</li> <li><strong><span>Operational Excellence:</span></strong></li> <li>Partner with data engineering to ensure the quality, integrity, and scalability of Yassir’s data infrastructure.</li> <li>Manage and prioritize analytics initiatives, ensuring timely delivery and measurable impact.</li> </ul> <br> <br> <br> What We're Looking For:<br> <ul> <li><strong><span>Experience:</span></strong></li> <li>8+ years in analytics, business intelligence, or similar roles, with at least 3 years managing teams.</li> <li>Experience scaling analytics functions in fast-paced, high-growth environments, ideally within tech or platform businesses.</li> <li><span><strong>Technical Expertise:</strong></span></li> <li>Proficiency in analytics tools (e.g., SQL, Tableau, Looker, or Power BI).</li> <li>Familiarity with data warehousing solutions (e.g., Snowflake, BigQuery) and ETL processes.</li> <li>Strong analytical skills and a proven ability to convert data into actionable insights.</li> <li><strong><span>Leadership and Collaboration:</span></strong></li> <li>Exceptional communication and stakeholder management skills to align technical teams and business leaders.</li> <li>Experience leading multicultural teams across diverse geographies.</li> <li>Proven track record of hiring, retaining and growing top talent in various data-related disciplines</li> <li><span><strong>Education:</strong></span></li> <li>Master’s degree in computer science, Statistics, Economics, or related fields; advanced degrees are a plus.</li> </ul> <br> <br> <br> Nice-to-Have:<br> <ul> <li>Proficiency working in French.&nbsp;</li> <li>Experience in ride-hailing, food delivery, or fintech industries.</li> <li>Knowledge of advanced analytics techniques, including machine learning or predictive modeling.</li> <li>Experience working in the geographies where Yassir operates.&nbsp;</li> </ul> <br> <br> <br> Why Join Yassir?<br> <ul> <li><em>At Yassir, you’ll be part of a mission-driven team working to revolutionize the way people live and work in the MENA region and beyond. Join us to shape the future of on-demand services and fintech while enjoying:</em></li> <li>A competitive compensation package and equity.</li> <li>Professional growth opportunities in a fast-growing, Series B-funded startup.</li> <li>The chance to build a world-class technology company in North Africa.&nbsp;</li> </ul> <br> <br> <br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Launch Your Career in Artificial Intelligence We are seeking language professionals who are available and prepared to commit to this project for a minimum of six months.<br> This is a long-term engagement that requires consistent attendance, dependable availability, and the ability to work the required schedule throughout the project.<br> Artificial Intelligence is transforming how the world communicates, learns, and solves problems—and skilled reviewers play an important role in improving the quality of these systems.<br> As an AI Evaluation &amp; Annotation Reviewer, you will evaluate AI-generated content, identify linguistic and structural issues, annotate language data, and provide feedback that helps make AI responses more accurate, relevant, and reliable.<br> This opportunity is ideal for professionals with backgrounds in linguistics, translation, localization, language education, research, writing, or quality assurance who are interested in gaining hands-on experience on a real-world AI project.<br> Why Join This Project?<br> Gain practical experience working on a global Artificial Intelligence project.<br> Build valuable skills in AI evaluation, annotation, prompt review, and language quality.<br> Work directly with QA Leads, international teams, and client stakeholders.<br> Strengthen your experience for future opportunities in AI, language technology, localization, research, and quality assurance.<br> Receive project-specific training, guidance, and ongoing feedback.<br> What You’ll Do Review AI-generated responses for clarity, accuracy, correctness, relevance, and overall quality.<br> Annotate and label language content according to detailed project guidelines.<br> Generate or evaluate prompts based on assignment requirements.<br> Identify linguistic errors, dataset concerns, and structural inconsistencies.<br> Provide clear, structured feedback to support improvements in AI performance.<br> Communicate complex language requirements clearly to both linguistic and non-linguistic stakeholders.<br> Collaborate with QA Leads and clients to apply feedback and maintain quality standards.<br> Participate in required client-facing meetings with your camera on.<br> Submit daily work reports and consistently meet productivity and quality expectations.<br> What We’re Looking For Professional fluency in French with strong written and verbal communication skills.<br> A bachelor’s degree in Linguistics, Languages, Computer Science, or a related field, or equivalent professional experience.<br> A degree or certification in French, where required.<br> Strong analytical skills and exceptional attention to detail.<br> The ability to identify patterns, errors, inconsistencies, and subtle language issues.<br> Experience in annotation, evaluation, translation, localization, linguistics, research, education, or quality assurance is helpful but not required.<br> An interest in Artificial Intelligence, Machine Learning, language technology, or data annotation.<br> The ability to learn new tools, follow detailed guidelines, and adapt to changing project requirements.<br> Strong organization and task-management skills.<br> Professional communication skills and confidence participating in client-facing meetings.<br> The ability to work independently and collaborate effectively with a global team.<br> Schedule and Commitment Requirements Applicants must be able to meet all of the following requirements: Commit to the project for a minimum of six months.<br> Maintain consistent availability throughout the engagement.<br> Work consecutive eight-hour shifts.<br> Remain available during the required core hours of 8:00 AM–5:00 PM PST.<br> Attend daily client meetings scheduled between 10:00 AM–12:00 PM PST.<br> Consistently meet attendance, productivity, quality, and reporting expectations.<br> Only approved and properly logged hours will be compensated.<br> This is an independent contractor engagement and does not include paid holidays or paid time off.<br> Compensation Range Rates vary by language and are confirmed based on project requirements.<br> French - $15 to $18.<br>00 USD per hour Ready to Apply?<br> This opportunity is best suited for individuals who are genuinely interested in language and Artificial Intelligence and can provide the consistency required for a long-term global project.<br> Apply if you are ready to commit for at least six months, meet the required schedule, and contribute dependable, high-quality work throughout the engagement.<br> Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, Venezuela.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div><br> <strong>About the Role</strong> <p>Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir s most critical problems.</p> <strong>About the Team</strong> <p>The Data Analytics team is part of Yassir s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!</p> <br> <strong>Key Responsibilities</strong> <ul> <li> <p>Analyze customer, transaction, merchant, and agent data to identify trends, opportunities, and performance drivers across Wallets, Payments, Bill Payments, Merchant Payments, P2P Transfers, and other Financial Services products.</p> </li> <li> <p>Partner with Product Managers, Operations, Risk, Finance, and Engineering teams to answer business questions through data and support product decision-making.</p> </li> <li> <p>Develop and maintain dashboards, reports, and KPI tracking frameworks to monitor customer growth, engagement, retention, transaction performance, and revenue metrics.</p> </li> <li> <p>Conduct deep-dive analyses on customer behavior, payment funnels, wallet activation, transaction success rates, merchant activity, and agent performance.</p> </li> <li> <p>Support product discovery and feature development by identifying customer pain points, behavioral patterns, and growth opportunities using data.</p> </li> <li> <p>Design, execute, and evaluate A/B tests, feature launches, promotional campaigns, and product experiments to measure impact and guide future improvements.</p> </li> <li> <p>Work closely with Data Science and Risk teams to support customer segmentation, fraud monitoring, credit risk analysis, and predictive modeling initiatives.</p> </li> <li> <p>Perform exploratory data analysis (EDA) to uncover actionable insights and support the development of data-driven product enhancements.</p> </li> <li> <p>Monitor data quality, identify anomalies, and collaborate with Data Engineering teams to improve tracking, instrumentation, and reporting accuracy.</p> </li> <li> <p>Communicate findings and recommendations clearly to both technical and non-technical stakeholders through presentations, reports, and dashboards.</p> </li> </ul> <br> <strong>Key Requirements</strong> Essential <br><ul> <li> <p>2 5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role.</p> </li> <li> <p>Strong SQL skills and practical experience working with large-scale customer and transaction datasets.</p> </li> <li> <p>Proficiency in Python for data analysis, statistical modeling, and data visualization.</p> </li> <li> <p>Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services.</p> </li> <li> <p>Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making.</p> </li> <li> <p>Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI.</p> </li> <li> <p>Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders.</p> </li> <li> <p>Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery.</p> </li> <li> <p>Strong problem-solving, analytical thinking, and attention to detail.</p> </li> <li> <p>Excellent written and verbal communication skills in English.</p> </li> </ul> Nice to have <br><ul> <li> <p>Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products.</p> </li> <li> <p>Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics.</p> </li> <li> <p>Exposure to machine learning, customer segmentation, or predictive analytics use cases.</p></li></ul></div></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong><span>About Yassir</span></strong> <p><span>Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency &amp; Trust, Quality, Performance. And we are growing fast - super fast.</span></p><br> <p><span>By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.</span></p><br> <br> <p><strong><span>yassir.com</span></strong></p><br> <strong><span>About the Role</span></strong> <p><span>Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business’s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems.</span></p><br> <strong><span>About the Team</span></strong> <p><span>The Data Analytics team is part of Yassir’s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!</span></p><br> <br> <strong><span>Key Responsibilities</span></strong> <ul> <li> <p><span>Analyze customer, transaction, merchant, and agent data to identify trends, opportunities, and performance drivers across Wallets, Payments, Bill Payments, Merchant Payments, P2P Transfers, and other Financial Services products.</span></p><br> </li> <li> <p><span>Partner with Product Managers, Operations, Risk, Finance, and Engineering teams to answer business questions through data and support product decision-making.</span></p><br> </li> <li> <p><span>Develop and maintain dashboards, reports, and KPI tracking frameworks to monitor customer growth, engagement, retention, transaction performance, and revenue metrics.</span></p><br> </li> <li> <p><span>Conduct deep-dive analyses on customer behavior, payment funnels, wallet activation, transaction success rates, merchant activity, and agent performance.</span></p><br> </li> <li> <p><span>Support product discovery and feature development by identifying customer pain points, behavioral patterns, and growth opportunities using data.</span></p><br> </li> <li> <p><span>Design, execute, and evaluate A/B tests, feature launches, promotional campaigns, and product experiments to measure impact and guide future improvements.</span></p><br> </li> <li> <p><span>Work closely with Data Science and Risk teams to support customer segmentation, fraud monitoring, credit risk analysis, and predictive modeling initiatives.</span></p><br> </li> <li> <p><span>Perform exploratory data analysis (EDA) to uncover actionable insights and support the development of data-driven product enhancements.</span></p><br> </li> <li> <p><span>Monitor data quality, identify anomalies, and collaborate with Data Engineering teams to improve tracking, instrumentation, and reporting accuracy.</span></p><br> </li> <li> <p><span>Communicate findings and recommendations clearly to both technical and non-technical stakeholders through presentations, reports, and dashboards.</span></p><br> </li> </ul> <br> <strong><span>Key Requirements</span></strong> <span>Essential</span> <ul> <li> <p><span>2–5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role.</span></p><br> </li> <li> <p><span>Strong SQL skills and practical experience working with large-scale customer and transaction datasets.</span></p><br> </li> <li> <p><span>Proficiency in Python for data analysis, statistical modeling, and data visualization.</span></p><br> </li> <li> <p><span>Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services.</span></p><br> </li> <li> <p><span>Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making.</span></p><br> </li> <li> <p><span>Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI.</span></p><br> </li> <li> <p><span>Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders.</span></p><br> </li> <li> <p><span>Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery.</span></p><br> </li> <li> <p><span>Strong problem-solving, analytical thinking, and attention to detail.</span></p><br> </li> <li> <p><span>Excellent written and verbal communication skills in English.</span></p><br> </li> </ul> <span>Nice to have</span> <ul> <li> <p><span>Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products.</span></p><br> </li> <li> <p><span>Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics.</span></p><br> </li> <li> <p><span>Exposure to machine learning, customer segmentation, or predictive analytics use cases.</span></p><br> </li> </ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Description Smeetz is an AI-powered unified commerce platform for the European leisure and entertainment industry.<br> Theme parks, family entertainment centres, museums, zoos, and theatres run their ticketing, seating, F&amp;B, and payments on us.<br> This role owns our two AI surfaces: the Smeetz MCP server and the AI chatbot.<br> You own them end to end.<br> You talk to the venues using them, you decide what to build next, you write the production code, and you watch what happens once it is live.<br> There is no product manager between you and that decision.<br> Reports to the VP of Engineering.<br> No direct reports.<br> The authority in this role is over a surface area, not over people.<br> Key responsibilities A product engineer owns a piece of the product end to end: choosing what to build, building it, and improving it once real customers are using it.<br> Here that piece is our AI surfaces.<br> Own the Smeetz MCP server and the AI chatbot.<br> Both are yours end to end: the tool surface, the agent behaviour, and the guardrails on what they are allowed to do.<br> Decide what to build next.<br> Run discovery on your own area.<br> Talk to venue operators, read the traces, pick the work, write the spec yourself, ship it, then measure it.<br> Own reliability and performance.<br> Latency, error rates, and the call patterns clients actually generate.<br> You get full observability data to work from and the mandate to act on it.<br> Build the eval layer.<br> Make prompt and model changes measurable before they ship, not after a customer notices.<br> Write things down.<br> The surfaces you own should be understandable by the next engineer without you in the room.<br> Documentation sits in your objectives, not in the gap at the end of a sprint.<br> Raise the bar on AI-native delivery.<br> Extend our shared Claude Code skill library so the rest of engineering ships the way you do.<br> A published dual career ladder.<br> Grow to Staff AI Product Engineer without becoming a manager, on pay bands comparable to the management track.<br> Full ownership of two AI surfaces that are core product, not a side project.<br> Direct contact with the venue operators who use what you build.<br> Modern AI-native tooling: Claude Code with a shared internal skill library.<br> Fully remote position.<br> Competitive salary based on experience.<br> Band to confirm.<br> Professional requirements Minimum 5 years shipping production code, including at least one system you owned end to end with the on-call that comes with it.<br> Minimum 2 years building LLM features that reached real users: tool calling, structured outputs, evals, cost and latency control, and the failure modes that only appear in production.<br> Prototypes do not count.<br> Demonstrated expertise in an AI-native SDLC.<br> You work in Claude Code or an equivalent agentic environment every day, and you build your own skills, hooks, and automations rather than using AI as autocomplete.<br> Be ready to show what you automated and what it replaced.<br> Experience designing an API or tool surface for agents rather than for humans: naming, granularity, and error messages a model can recover from without a human stepping in.<br> You run discovery yourself.<br> Bring customer conversations you led, specs you wrote, and success metrics you set and were measured against.<br> Fluent in English.<br> Additional preferred skills Langfuse, or another LLM observability tool such as LangSmith, Braintrust, or Phoenix.<br> Ours is Langfuse and it is already wired into the MCP server.<br> The MCP specification itself, beyond having used it as a client.<br> The Anthropic Claude API and tool use.<br> Most of what we build sits on Claude.<br> Retrieval and evals over a support knowledge base.<br> Intercom Fin experience is directly relevant.<br> Guardrails for agents with write access: permissions, confirmation steps, prompt injection, PII.<br> French or German.<br> Personal attributes Owner: Defaults to ownership.<br> The surface works because you are in the seat.<br> AI-native: Lives inside Claude and agents.<br> Treats AI as leverage, not as a side project.<br> Product-minded: Starts from the operator's problem, not from the ticket.<br> Decisive: Kills their own ideas and can say what they gave up and why.<br> Writer: Leaves the codebase better documented than they found it.<br> At ease in ambiguity: There is no groomed backlog for this area.<br> That is the appeal, not the problem.<br> Measured: Defines success before building and accepts the number.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Regler et démarrer les machines Assurer le suivi de la production Détecter et corriger les anomalies Réaliser la maintenance de premier niveau Connaissance des machines industrielles Réactivité et sens technique Si vous correspondez ce profil, merci d envoyer votre CV en cliquant sur l onglet postuler Alger Bab Ezzouar</p></div></section>