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senior data scientist

Hays

<div>
 
 
 Senior Data Scientist
 
 
 
 
 Financial Services
 
 
 
 
 Dubai, United Arab Emirates
 
 
 
 
 Permanent position
 
 
 
 
 
 
 We are looking for a Senior Data Scientist to join an investment team to help advance the next stage of growth for of tech‑driven wealth management firm.
 
 
 
 
 
 This role sits at the intersection of quant finance, AI and engineering. You will work directly quant analysts and researchers, to build models, tools, and insights that enhance investment decisions across multi‑asset portfolios.
 
 
 
 
 
 
 Asset class
 
 
 
 Experience working with multi‑asset datasets: equities, FX/currencies, rates, credit, commodities, derivatives.
 
 
 
 
 
 
 Experience needed
 
 
 <ul>
 <li>
 Python expertise
 </li>
 <li>
 ML proficiency
 </li>
 <li>
 Develop and maintain quantitative models for asset allocation
 </li>
 <li>
 Design and deploy LLM‑powered tools
 </li>
 <li>
 Familiarity with portfolio construction frameworks and allocation strategies
 </li>
 <li>
 Deep understanding of quantitative finance and financial datasets
 </li>
 <li>
 Implement AI models for quant research and investment workflows
 </li>
 <li>
 Previous QR/QA/SDS industry role within wealth management, managers, funds, or investment banks
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 PhD in Com Sci or relevant STEM
 </li>
 </ul>
 
 
 
 
 Salary, bonus, family visa, family medical, flight &amp; relocation assistance available for successful overseas applicants.
 
 
 
 
 
 **Due to the high number of applicants, only applicants with the above skillset will be contacted**
 
</div>

Senior Data Scientist

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 
 About the Role
 
 
 
 
 We&rsquo;re looking for senior technical leaders who can architect and scale intelligent systems that architect the "brain" of our dark store operations. As a senior data scientist you won&rsquo;t just be building models, you&rsquo;ll be optimizing the lifecycle of millions of items from the moment they leave a supplier to the moment they reach a customer&rsquo;s doorstep in under 20 minutes. You will tackle the classic "perishable trade-off" ensuring our shelves are always stocked with what customers want, while ruthlessly minimizing wastage and maximizing every square centimetre of our dark store floor space.
 
 
 
 
 What You'll Do
 
 
 
 
 <ul>
 <li>
 Demand Forecasting: Build and deploy high-precision forecasting models to predict hyper-local demand at the SKU-store level.
 </li>
 <li>
 Inventory &amp; Availability: Develop replenishment algorithms that balance In-Stock Availability with the risk of expiry, specifically for high-turnover perishables.
 </li>
 <li>
 Wastage Mitigation: Use ML to identify items at risk of expiring and trigger automated interventions including reduced-to-clear discounting, intra-store replenishment etc.
 </li>
 <li>
 Dynamic Pricing &amp; Discounts: Design and A/B test pricing strategies that move inventory efficiently without eroding margins.
 </li>
 <li>
 Space Management: Optimize dark store space determining which items should be stored where within the dark store to minimize picker travel time and maximize storage density.
 </li>
 <li>
 End-to-End Ownership: Work closely with Product Managers and Supply Chain Operations to turn your models into production-level code that dictates real-world logistics.
 
 
 </li>
 </ul>
 
 
 What You'll Need
 
 
 
 
 <ul>
 <li>
 Academic Background &amp; Experience: 8+ years of experience in Data Science, ideally in E-commerce, Q-commerce, or Supply Chain. A background in Operations Research or Statistics. Hands-on proficiency in Python, Spark and ML frameworks. Experience with real-time inference systems and model monitoring in production. Strong understanding of experimentation, A/B testing, and causal inference. Demonstrated ability to drive architectural decisions across teams.
 </li>
 <li>
 Technical Skills: Professional-grade Python and SQL. Experience with optimization libraries (like Gurobi, CPLEX, or PuLP) and ML frameworks (XGBoost, LightGBM, or PyTorch).
 </li>
 <li>
 Problem Solving: Experience with Stochastic Optimization or Reinforcement Learning for inventory management is highly preferred.
 </li>
 <li>
 Business Intuition: You understand that a 1% reduction in wastage across 100+ stores translates to millions in saved EBITDA.
 </li>
 <li>
 Communication Skills: Excellent communication skills and ability to translate complex modelling trade-offs into business impact.
 
 
 </li>
 </ul>
 
 
 What We&rsquo;ll Provide You
 
 
 
 
 
 
 We Offer Colleagues The Opportunity To Drive Impact In The Region While They Learn And Grow. As a Full Time Careem Colleague, You Will Be Able To
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Senior Data Scientist II - Supply Chain

YO IT Consulting

<div>
 
 Job Title: Data Scientist
 
 
 
 
 Job Type: Contractor
 
 
 
 
 Location: Remote
 
 
 
 
 Job Summary
 
 
 
 Join our customer team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. You will leverage your expertise in statistics, mathematics, and programming to tackle challenging data problems, ensuring clean, robust, and insightful analyses. This is an exciting opportunity to work in a dynamic, expert-driven environment that values clear communication and innovative thinking.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.
 </li>
 <li>
 Develop, validate, and implement statistical models to extract actionable insights from complex data.
 </li>
 <li>
 Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.
 </li>
 <li>
 Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.
 </li>
 <li>
 Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.
 </li>
 <li>
 Continuously improve analytical methodologies and automation processes to enhance data workflows.
 </li>
 <li>
 Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Expertise in statistics, mathematics, and data analysis techniques.
 </li>
 <li>
 Proven experience in collecting, handling, and cleaning large, complex data sets.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling.
 </li>
 <li>
 Strong data modeling skills with experience in building and validating predictive models.
 </li>
 <li>
 Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.
 </li>
 <li>
 Meticulous attention to detail and commitment to data quality at every stage.
 </li>
 <li>
 Excellent written and verbal communication skills, with an emphasis on clarity and precision.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience working in a remote, cross-functional, or customer-focused team environment.
 </li>
 <li>
 Background in developing and deploying machine learning solutions in production settings.
 </li>
 </ul>
</div>

Data Scientist - Remote

SLICIT

<div>
 Technology
 
 
 Dubai, UAE (Hybrid Work Model)
 
 
 Please note that, due to operational and logistical considerations, we do not currently accommodate relocation packages and foreign visas.
 
 
 Apply Now
 
 
 
 Role Summary
 
 
 
 SLICIT is on the forefront of integrating Web 3.0 technologies into the asset management and fintech sectors.
 
 
 We are seeking a Data Scientist with a pioneering spirit to harness vast datasets and apply analytical rigor in the realms of blockchain, tokenization, NFTs, and other Web 3.0 concepts.
 
 
 Your role will be instrumental in driving innovation through data-driven insights, particularly in optimizing asset management strategies, exploring fintech opportunities, and leveraging real-world assets through digital transformation.
 
 
 This position is tailor-made for someone who not only excels in technical and analytical capacities but also brings a wealth of business experience and industry knowledge in asset management, fintech, and the burgeoning field of digital assets.
 
 
 
 Reporting To
 
 
 
 Chief Technology Officer
 
 
 
 Employment Type
 
 
 
 Full-Time
 
 
 
 Essential Qualifications And Skills
 
 
 
 <ul>
 <li>
 Machine Learning and AI Expertise: The ideal candidate will possess a robust foundation in both theoretical and practical aspects of machine learning (ML) and artificial intelligence (AI), with a particular emphasis on applications within the financial sector. You should have hands-on experience designing, implementing, and validating a wide range of ML models, from traditional algorithms like Linear Regression, Decision Trees, and Clustering, to more advanced techniques including Neural Networks, Natural Language Processing (NLP), and Reinforcement Learning.
 </li>
 <li>
 Knowledge of Tools and Frameworks:
 </li>
 <li>
 Proficiency in using Python libraries such as Scikit-learn for machine learning model development and TensorFlow or PyTorch for deep learning applications.
 </li>
 <li>
 Experience with NLP tools like NLTK or spaCy to derive insights from textual data, which is particularly relevant in analyzing market sentiment or financial news.
 </li>
 <li>
 Familiarity with reinforcement learning frameworks such as OpenAI Gym, which can be applied to develop sophisticated trading algorithms that adapt and learn from the market&rsquo;s dynamics.
 </li>
 <li>
 A track record of employing AI-driven analytics to forecast market trends, optimize investment portfolios, or enhance customer personalization and engagement in fintech solutions.
 </li>
 <li>
 Demonstrated Impact: Evidence of past projects where your ML and AI expertise directly contributed to significant business outcomes, such as improved investment returns, risk reduction, operational efficiencies, or customer satisfaction enhancements. The ability to quantify the impact of your work (e.g., percentage increase in investment performance, reduction in risk exposure) will be highly valued.
 </li>
 <li>
 Programming and Data Manipulation Proficiency: Adeptness in programming and data manipulation, critical for analysing complex datasets and developing scalable solutions.
 </li>
 <li>
 Core Programming Languages: Proficiency in Python is essential, given its widespread use in data science for everything from data manipulation with Pandas to complex machine learning with libraries like TensorFlow and scikit-learn. Expertise in R is also valuable, particularly for statistical analysis and visualization. Knowledge of SQL is crucial for querying databases and manipulating data stored in SQL databases.
 </li>
 <li>
 Data Manipulation Tools and Techniques: Candidates should demonstrate expertise in handling large datasets, employing techniques and tools for data cleaning, transformation, and aggregation. Experience with Python libraries such as NumPy and Pandas, or R packages like dplyr and tidyr, is expected.
 </li>
 <li>
 Version Control and Collaboration: Familiarity with version control systems, notably Git, is necessary for efficient collaboration within a team. This includes managing code repositories, branching, merging, and handling pull requests in platforms like GitHub or GitLab.
 </li>
 <li>
 Advanced Analytical and Statistical Skills: Expertise in statistical analysis, predictive modeling, and data mining, with a proven track record of leveraging these skills to drive business decisions.
 </li>
 <li>
 Education: A Master&rsquo;s or PhD in Data Science, Computer Science, Mathematics, Statistics, or related field, with ideally coursework or projects focused on finance, blockchain, or digital assets.
 
 
 </li>
 </ul>
 
 Nice-to-Have Skills
 
 
 
 <ul>
 <li>
 Programming and Data Manipulation Proficiency in Scala or Java would be a plus, tailored towards data science applications in finance and asset management.
 </li>
 <li>
 Big Data Technologies: Familiarity with big data frameworks and cloud computing environments, enhancing data processing and analysis capabilities.
 </li>
 <li>
 Deep Learning Proficiency: Knowledge of deep learning applications in finance, such as predictive analytics for market trends or customer behaviour analysis.
 </li>
 <li>
 Data Visualisation Skills: Competence in using tools like Tableau or Power BI for creating intuitive data visualisations that convey complex information to stakeholders.
 </li>
 <li>
 Business Experience and Industry Knowledge: Some experience in asset management, fintech, or related sectors, with a keen understanding of market dynamics, regulatory environments, and the potential of digital transformation through Web 3.0 technologies.
 </li>
 <li>
 Blockchain and Web 3.0 Technologies: Deep understanding of blockchain fundamentals, smart contracts, tokenization of assets, NFTs, and their implications for asset management and fintech is a big advantage. Experience with platforms such as Ethereum, Hedera Hashgraph, and Polygon. In particular:
 </li>
 <li>
 Fundamental Blockchain Concepts: Candidates should have a solid grasp of key blockchain principles, including decentralized ledgers, consensus mechanisms, smart contracts, and cryptographic protocols. This knowledge is vital for analysing blockchain data and understanding the underlying technology of digital assets and transactions.
 </li>
 <li>
 Blockchain Platforms and Tools: Experience with major blockchain platforms such as Ethereum, for smart contract development, and ideally familiarity with newer platforms like Hedera Hashgraph, Polygon or Polymesh.
 </li>
 <li>
 Smart Contracts and DApps Development: While primarily a data-focused role, understanding the development and deployment of smart contracts and decentralized applications (DApps) can provide valuable insights into data sources and potential applications of blockchain in asset management and fintech. Knowledge of Solidity (for Ethereum) or other smart contract languages is a plus.
 </li>
 <li>
 Blockchain in Finance: Specific experience in applying blockchain technology to solve problems in finance, such as through tokenization of assets, implementation of NFTs for unique asset representation, or enhancing the security and efficiency of transactions.
 </li>
 <li>
 Industry Certifications: Certifications related to blockchain technology, data science, or finance, showcasing a commitment to ongoing professional development.
 
 
 </li>
 </ul>
 
 Remuneration Benefits
 
 
 
 <ul>
 <li>
 Competitive Salary: Reflective of the expertise and strategic importance you bring to the team.
 </li>
 <li>
 Comprehensive Benefits Package: Premium health insurance, retirement planning options, and generous vacation policies.
 </li>
 <li>
 Professional Development: Commitment to your growth through conferences, workshops, and certifications in emerging technologies and financial analysis.
 </li>
 <li>
 Innovative Work Culture: Be part of a dynamic team pushing the boundaries of technology in asset management and fintech.
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Are you excited by the challenge of transforming the asset management and fintech landscapes through Web 3.0 technologies? If you have a solid foundation in data science, your next career milestone awaits with us.
 
 
 Interested candidates should submit their resume, a comprehensive cover letter detailing your relevant experience, along with any notable projects, , and why you&rsquo;re a fit for SLICIT, to careers@slicit.com with the subject line &ldquo;Data Scientist Application&rdquo;.
 
 
 Apply Now
</div>

Data Scientist

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
What you&rsquo;ll build:
In this role, you'll turn data into decisions by identifying high-value business problems, framing them analytically, and delivering models and insights that improve customer outcomes and product performance. You'll work across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, causal analysis, and machine learning, while partnering closely with product, engineering, sales, operations, or finance stakeholders. Your work will not stop at model accuracy: you'll define success metrics, quantify impact, translate findings into business actions, and help teams prioritize based on value, risk, and feasibility. You&rsquo;ll also contribute to AI-driven analytics using NLP, embeddings, and LLM-assisted workflows for summarization, classification, knowledge extraction, and decision support. The role requires someone who can connect business context with rigorous analysis, explain trade-offs clearly, and influence roadmap decisions with evidence.
What you bring:<ul><li>
Strong command of Python and SQL for data extraction, statistical analysis, feature engineering, model development, and analytical automation</li><li>
You have a deep understanding of statistics and probability, including hypothesis testing, experiment design, A/B testing, regression, causal thinking, and interpreting uncertainty</li><li>
You have hands-on experience with a range of machine learning techniques, such as classification, forecasting, clustering, recommendation systems, anomaly detection, and propensity modeling</li><li>
You are skilled at framing business problems into measurable analytical questions, defining success metrics, and connecting model outputs to commercial or operational decisions</li><li>
You excel at building clear data narratives through dashboards, visualizations, presentations, and concise executive communication</li><li>
You demonstrate practical expertise in feature selection, model validation, error analysis, bias identification, and balancing trade-offs between accuracy and usability</li><li>
You have exposure to modern AI approaches, including NLP, generative AI, and LLM-assisted analytics (e.g., semantic search, text classification, summarization, prompt-based analysis)</li><li>
You are experienced with modern analytics and data platforms, such as notebooks, BI tools, cloud data warehouses, Spark, and large-scale data processing environments</li><li>
You have a strong understanding of data quality, lineage, governance, and the discipline required to produce trustworthy and reusable analyses</li></ul>
About You<ul><li>
6+ years of data science experience</li><li>
You are curious and bring a structured approach to problem-solving, with the ability to break down complex challenges into clear, actionable steps</li><li>
You are a strong collaborator who enjoys working cross-functionally and influencing decisions through data</li><li>
You are motivated by driving real-world impact, ensuring your analyses and models lead to measurable business outcomes</li><li>
You continuously seek to learn and stay current with evolving data science and AI trends</li></ul>
Where you belong:
You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters.This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape. 
About the team
We work closely with decision-makers, challenge assumptions with data, and give data scientists room to influence strategy, not just produce analysis. We value sharp thinking, business curiosity, and clear communication.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450274 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

Data Science Expert

Moove

<div>
 
 About Moove
 
 
 
 Moove is building the world&rsquo;s largest fleet and best-in-class technologies to power mobility platforms. Our flagship Drive-to-Own (DTO) product democratises access to vehicle ownership with a revolutionary revenue-based financing model, enabling underserved mobility entrepreneurs to thrive.
 
 
 Our global growth has been fuelled by our partnership with Uber and backed by leading investors and lenders, including Uber, Mubadala, BlackRock, and many others. Today, Moove operates the world's largest manned &amp; autonomous ride-hail fleet, with 38k+ vehicles across 29 cities, 13 countries and 6 continents enabled by 2.1k+ employees &ndash; Moove continues to expand through strategic partnerships with industry leaders like Uber. We&rsquo;re transforming mobility to be safer, more efficient, and accessible to all, while creating economic opportunities and supporting skills development in the mobility sector
 
 
 
 About The Role
 
 
 
 We are looking for a Senior Data Analyst who can independently lead the design and delivery of high-impact BI dashboards, data models, and actionable insights to drive strategic decision-making across the organization. This role goes beyond traditional reporting, it involves full ownership of business problems, from identifying critical questions to delivering data-driven solutions and ensuring actions are implemented based on insights. The ideal candidate is both technically strong and business-savvy, capable of working autonomously while engaging stakeholders in adopting a data-informed culture.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 This role exists to empower the business with reliable, timely, and actionable data insights that directly impact key decisions.
 
 
 Critical outcomes for the next 6-12 months include:
 
 
 <ul>
 <li>
 Developing and deploying self-service BI dashboards that are actively used by stakeholders across departments.
 </li>
 <li>
 Delivering data models and insights that directly influence strategic decisions.
 </li>
 <li>
 Establishing a proactive analytics culture where stakeholders seek and apply data in decision-making.
 
 
 </li>
 </ul>
 Core Responsibilities:
 
 
 <ul>
 <li>
 Proactively identify business opportunities and challenges that can be addressed with data.
 </li>
 <li>
 Identify the best methods for data visualization to provide meaningful insights.
 </li>
 <li>
 Build and ship self-service data models and reports that drive weekly business decisions.
 </li>
 <li>
 Own the full analytics lifecycle without requiring management intervention.
 </li>
 <li>
 Drive action based on insights, not just deliver reports.
 </li>
 <li>
 Continuously educate stakeholders on data-informed decision making.
 
 
 </li>
 </ul>
 
 What You Will Need For This Position
 
 
 
 5+ years of experience in data analytics, BI development, or a similar role.
 
 
 <ul>
 <li>
 Proven ability to own analytics projects end-to-end, from scoping to implementation.
 </li>
 <li>
 Strong technical skills in SQL, data modeling, and BI tools (e.g., Power BI, Tableau, or Looker).
 </li>
 <li>
 Excellent data visualization and storytelling skills.
 </li>
 <li>
 Strong business acumen and ability to translate data into actionable insights.
 </li>
 <li>
 Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
 
 
 </li>
 </ul>
 
 Key Metrics
 
 
 
 Delivery of at least three high-impact BI dashboards adopted by business stakeholders in the first year.
 
 
 <ul>
 <li>
 Demonstrable improvement in decision-making speed and quality across departments.
 </li>
 <li>
 Increase in self-service analytics adoption rate by at least 30% within 12 months.
 </li>
 <li>
 Positive stakeholder feedback on data accessibility and usefulness.
 
 
 </li>
 </ul>
 
 Who You'll Be Working with:
 
 
 
 Directly reporting to our Senior Staff Data Scientist, and closely working with our Technology Team.
 
 
 
 About The Team
 
 
 
 Our team is collaborative, positive, curious, and engaged. We think fast, work smart, laugh often, and are looking for like-minded people to join us in our mission to disrupt vehicle ownership and make financial freedom within reach.
 
 
 Moove is strongly committed to diversity within its community. The Company&rsquo;s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently.
 
 
 
 Pre-hiring Notice:
 
 Moove relies on the accuracy of information contained in employment applications, as well as the accuracy of other data presented throughout the hiring process and during employment. Any misrepresentations, falsifications, or material omissions in any information or data provided by an applicant may result in the applicant being excluded from further consideration for employment or if an individual has already been hired, termination of employment.
 
 
 
 EEO Statement:
 
 Moove is an equal opportunity employer and does not discriminate on the basis of gender, race, sexual orientation, marital status, religion, political affiliation or any other protected characteristic.
</div>

Senior Data Analyst | Dubai

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 
 About the Role
 
 
 
 
 As a Staff Data Scientist I &ndash; Matching, you will own the end-to-end matching and dispatch architecture for Careem&rsquo;s Food and Groceries verticals. You will design and implement real-time assignment systems that optimize cost, SLA compliance, and marketplace efficiency at scale.
 
 
 This role sits at the core of the marketplace engine solving complex, multi-objective optimization problems under uncertainty. You will build systems that dynamically match orders to captains, optimize batching and pooling decisions, and continuously re-optimize as new information arrives. You will operate as a senior technical IC, leading architecture decisions, mentoring other data scientists, and setting optimization standards across the domain.
 
 
 
 
 What You'll Do
 
 
 
 
 
 1. Matching &amp; Dispatch Architecture Ownership
 
 
 
 <ul>
 <li>
 Design and own the end-to-end matching and dispatch systems for Food &amp; Groceries.
 </li>
 <li>
 Architect scalable assignment frameworks incorporating:
 </li>
 <ul>
 <li>
 Static and dynamic assignment
 </li>
 <li>
 Online matching under uncertainty
 </li>
 <li>
 Batch and pooling optimization
 </li>
 <li>
 Continuous re-optimization with dynamic events
 </li>
 </ul>
 <li>
 Establish robust optimization standards and best practices across the organization.
 
 
 </li>
 </ul>
 
 2. Multi-Objective Optimization &amp; Algorithm Development
 
 
 
 <ul>
 <li>
 Formulate and implement multi-objective optimization models balancing:
 </li>
 <ul>
 <li>
 Cost minimization
 </li>
 <li>
 SLA compliance
 </li>
 <li>
 Marketplace efficiency
 </li>
 </ul>
 <li>
 Develop and deploy:
 </li>
 <ul>
 <li>
 Min-cost flow and assignment models
 </li>
 <li>
 Graph-based optimization frameworks
 </li>
 <li>
 Custom solvers and OR-Tools based solutions
 </li>
 </ul>
 <li>
 Incorporate stochastic elements and uncertainty-aware decision-making into assignment policies.
 </li>
 <li>
 Continuously refine matching quality under high-scale marketplace conditions.
 
 
 </li>
 </ul>
 
 3. Real-Time Systems &amp; Production Delivery
 
 
 
 <ul>
 <li>
 Build production-grade real-time matching systems using Python, Spark, and Trino.
 </li>
 <li>
 Design scalable pipelines capable of handling large-scale, high-throughput marketplace events.
 </li>
 <li>
 Collaborate with Engineering and Platform teams to ensure reliable model serving and system performance.
 </li>
 <li>
 Lead performance monitoring, diagnostics, and system optimization.
 
 
 </li>
 </ul>
 
 4. Experimentation &amp; Impact Measurement
 
 
 
 <ul>
 <li>
 Define evaluation metrics aligned with marketplace and operational objectives.
 </li>
 <li>
 Design and run controlled experiments to quantify matching improvements.
 </li>
 <li>
 Analyze system trade-offs and communicate clear, data-driven recommendations to Product and Operations stakeholders.
 </li>
 <li>
 Ensure decisions translate into measurable improvements in efficiency and SLA performance.
 
 
 </li>
 </ul>
 
 
 What You'll Need
 
 
 
 
 <ul>
 <li>
 6&ndash;8+ years of experience in Applied Machine Learning, Optimization, or Data Science.
 </li>
 <li>
 Advanced degree in Computer Science, Engineering, Operations Research, Mathematics, or a related quantitative field.
 </li>
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 Strong expertise in:
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 <ul>
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 Optimization and assignment algorithms
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 Graph modeling and min-cost flow problems
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 Multi-objective optimization
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 Dynamic and online decision systems
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 </ul>
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 Hands-on experience with OR-Tools or custom optimization solvers.
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 Proficiency in Python, SQL, Spark, and distributed data systems.
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 Experience building real-time or near-real-time decision systems.
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 Strong understanding of experimentation and performance evaluation in marketplace systems.
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 Excellent communication skills with the ability to explain algorithmic trade-offs in business terms.
 
 
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 </ul>
 
 
 What we&rsquo;ll provide you
 
 
 
 
 We Offer Colleagues The Opportunity To Drive Impact In The Region While They Learn And Grow. As a Full Time Careem Colleague, You Will Be Able To
 
 
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 Work and learn from great minds by joining a community of inspiring colleagues.
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 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
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 Explore new opportunities to learn and grow every day.
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 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
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 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Staff Data Scientist I - Matching

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