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director data scientist - analysis

senior data scientist

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 70 million customers, and built a platform for the region&rsquo;s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.
 
 
 
 About The Team
 
 
 
 The Careem Data Science team&rsquo;s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision making, operational efficiencies, and lead the region&rsquo;s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region, while innovating on our user experience using GenAI.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Be part of a 0-1 AI transformation for Careem app from personalization perspective.
 </li>
 <li>
 Build a long-term vision on how we can rethink our customer acquisition and engagement strategies leveraging data in our decision making.
 </li>
 <li>
 Drive exploratory analysis to understand the ecosystem, user behavior; identifying new levers to help move metrics and build models of user behaviors for analysis and product enhancements.
 </li>
 <li>
 Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
 </li>
 <li>
 Provide product leadership by sharing data-based recommendation to communicate state of business, root cause of change in metrics and experimentation results influencing product and business decision
 </li>
 <li>
 Implement scalable machine learning algorithms that will be used in production on big data.
 </li>
 <li>
 Embark on exploratory data analysis projects to achieve better understanding of phenomena as well as to discover untapped areas of growth and optimization.
 </li>
 <li>
 Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
 </li>
 <li>
 Help define and track the appropriate key metrics for specific projects.
 </li>
 <li>
 Design and run randomized controlled experiments, analyze the resulting data and communicate results with other teams.
 </li>
 <li>
 You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.
 </li>
 <li>
 Build and deploy retrieval augmented generation systems and other applications of large language models.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 5-6 years of experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.
 </li>
 <li>
 Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
 </li>
 <li>
 Solid experience with Deep Learning Techniques (e.g attention, retrieval models, etc)
 </li>
 <li>
 1-2 years industrial experience in personalization, recommendation or search is a MUST. Preferably working in a product driven company.
 </li>
 <li>
 Strong problem solving and coding skills.
 </li>
 <li>
 Solid knowledge of AB testing, classic ML and DL
 </li>
 <li>
 Solid understanding of recommendations, ranking and retrieval.
 </li>
 <li>
 Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
 </li>
 <li>
 Strong communication skills.
 </li>
 <li>
 Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
 </li>
 <li>
 Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is a plus.
 </li>
 </ul>
</div>

Senior Data Scientist II

Hays

<div>
 
 
 Lead Data Scientist
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 We&rsquo;re looking for a dynamic Lead Data Scientist to drive end-to-end delivery of impactful AI and data science solutions. You&rsquo;ll lead a small, high-performing team, work closely with senior stakeholders, and champion data-driven decision-making across the business. This is a hands-on leadership role ideal for someone with a fintech or start-up background who thrives in fast-paced, agile environments.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Lead and mentor a team of data scientists, fostering a collaborative and innovative culture.
 </li>
 <li>
 Own delivery of AI/ML projects from ideation to deployment.
 </li>
 <li>
 Engage with senior stakeholders to align data initiatives with business goals.
 </li>
 <li>
 Identify and develop high-impact use cases across functions (Ops, Marketing, Finance).
 </li>
 <li>
 Drive agile, iterative development and ensure timely, high-quality execution.
 </li>
 </ul>
 
 
 
 
 What You&rsquo;ll Bring:
 
 
 
 
 <ul>
 <li>
 8+ years of experience in data science, with 2+ years in a leadership role.
 </li>
 <li>
 Proven track record of delivering end-to-end AI/ML solutions.
 </li>
 <li>
 Strong stakeholder management and communication skills.
 </li>
 <li>
 Experience in fintech or start-up environments preferred.
 </li>
 <li>
 Proficiency in Python, SQL, and modern ML frameworks.
 </li>
 <li>
 Wholesome data science experience (LLM&rsquo;s, AI automation, GenAI, advanced analytics)
 </li>
 <li>
 Quantitative finance implementation (desired)
 </li>
 </ul>
</div>

Lead Data Scientist

oryxsearch.io

<div>
 
 
 Role: Senior/Lead- AI/ML Scientist &ndash; Personalization &amp; GenAI (Dubai based)
 
 
 
 
 
 
 Join a high-performing Data Science team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you&rsquo;ll help define the future of personalization and user engagement using Generative AI and advanced machine learning.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead end-to-end AI transformation focused on personalization in a consumer-facing application.
 </li>
 <li>
 Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI.
 </li>
 <li>
 Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements.
 </li>
 <li>
 Design and deploy data/ML instrumentation to extract insights and optimize the product experience.
 </li>
 <li>
 Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses.
 </li>
 <li>
 Build and scale machine learning algorithms and pipelines to production using big data technologies.
 </li>
 <li>
 Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications.
 </li>
 <li>
 Design and evaluate A/B tests and communicate results across cross-functional teams.
 </li>
 <li>
 Define, implement, and monitor key performance metrics for AI-driven product features.
 </li>
 <li>
 Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data.
 </li>
 <li>
 Advanced degree (Master&rsquo;s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred)
 </li>
 <li>
 Deep experience in personalization, search, or recommendation systems (3&ndash;4 years in a product-focused environment).
 </li>
 <li>
 Expertise in deep learning architectures (e.g., attention models, transformers, retrieval models).
 </li>
 <li>
 Hands-on experience with LLMs and GenAI technologies.
 </li>
 <li>
 Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive.
 </li>
 <li>
 Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design.
 </li>
 <li>
 Solid background in ranking, recommendation, and retrieval systems.
 </li>
 <li>
 Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.).
 </li>
 <li>
 Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy.
 </li>
 <li>
 Bonus: Experience with geospatial data and advanced analytics platforms.
 </li>
 </ul>
 
 
</div>

Senior / Lead AI Scientist (Personalisation & GenAI)

The Entertainer FZ LLC

<div>About Us 
 
The ENTERTAINER is a leading digital company dedicated to adding value for consumers by bringing them the best incentive offers globally. We are a 100% digital, data-driven tech company providing first-rate offers across renowned dining, leisure, entertainment, and hotel brands worldwide. The ENTERTAINER has grown with the aim of creating unbeatable value and loyalty everywhere we operate. We believe that &quot;experience is everything,&quot; and that's why we are passionate about creating unforgettable experiences for our customers, partners, and employees. 
 
About the Role 
 
We are looking for a strategic and hands-on Data Scientist to lead data innovation and decision science within our B2C business. This role will collaborate closely with Product, Technology, Marketing, and Sales teams to develop predictive models, personalization strategies, and business insights that accelerate user acquisition, improve customer retention, and boost merchant engagement &mdash; including voucher redemptions and Digital Reach monetization. 
 
As a Data Scientist you will 
 
Strategic Impact &amp; Business Influence<ul><li>
Define and execute a holistic data science strategy aligned with B2C growth goals.</li><li>
Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and DR visibility.</li><li>
Influence key decisions across marketing campaigns, product features and merchant onboarding through predictive insights.</li><li>
Serve as a data evangelist, promoting cross-functional alignment and a strong data-first mindset.</li><li>
Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.
</li></ul> 
Product &amp; Business Intelligence<ul><li>
Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.</li><li>
Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.</li><li>
Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.</li><li>
Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.</li><li>
Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.</li><li>
Support Sales &amp; Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.</li><li>
Implement real-time analytics dashboards to track KPIs (active users, redemptions, DR revenue) and provide actionable insights.
</li></ul> 
Analytics Engineering &amp; Infrastructure<ul><li>
Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.</li><li>
Lead development of dashboards and self-serve analytics tools for key stakeholders.</li></ul> 

What we&rsquo;re looking for<ul><li>
3-5 years of experience in Data Science, Machine Learning or Advanced Analytics, ideally in a B2C e-commerce, subscription or digital commerce environment.</li><li>
Bachelor's or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.</li><li>
Proficiency in Python, R, SQL, and Big Data platforms such as BigQuery, MLFlow, Databricks, GCP, or AWS.</li><li>
Deep understanding of machine learning (e.g., XGBoost, LightGBM, Scikit-learn) and predictive modeling techniques.</li><li>
Proficiency in designing experiments (A/B testing) and statistical inference techniques.</li></ul> 

Preferred:<ul><li>
Experience working on mobile app analytics, offer redemption behavior, or consumer loyalty ecosystems.</li><li>
Exposure to advertising analytics and performance optimization for in-app marketing/ads (like DR).</li><li>
Familiarity with modern data visualization tools like Tableau, Power BI.</li></ul> 

Core Competencies<ul><li>
Strategic thinker with strong business acumen and the ability to translate data into commercial impact.</li><li>
Excellent communication and storytelling skills to influence executive stakeholders.</li><li>
Track record of delivering high-impact insights and building analytics capabilities from scratch.</li><li>
Strong mentoring, coaching, and cross-functional collaboration abilities.</li></ul> 

What We Offer<ul><li>
Competitive salary and benefits package.</li><li>
Opportunity to work with an energetic and innovative company.</li><li>
A chance to contribute to the success of a well-known UAE brand.</li></ul>
AdJwLsSZTb</div>

Data Scientist

Capgemini Engineering

<div>
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 Your Role
 
 
 We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will be responsible for extracting insights from complex datasets, building predictive models, and supporting data-driven decision-making across manufacturing operations.
 
 
 
 Key Responsibilities Of This Role
 
 
 
 <ul>
 <li>
 Collect, clean, and preprocess structured and unstructured data from various sources.
 </li>
 <li>
 Develop and implement statistical models, machine learning algorithms, and data mining techniques.
 </li>
 <li>
 Perform exploratory data analysis to identify trends, patterns, and anomalies.
 </li>
 <li>
 Translate business problems into analytical solutions and communicate findings effectively.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data science solutions into business processes.
 </li>
 <li>
 Create visualizations and dashboards to present insights to stakeholders.
 </li>
 <li>
 Continuously monitor model performance and update models as needed.
 </li>
 <li>
 Document methodologies, experiments, and results for reproducibility and knowledge sharing.
 
 
 </li>
 </ul>
 Your Profile
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2&ndash;5 years of experience in data science or advanced analytics, preferably in a manufacturing context.
 </li>
 <li>
 Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).
 </li>
 <li>
 Experience with data visualization tools such as Power BI, Tableau, or matplotlib.
 </li>
 <li>
 Strong understanding of statistical analysis, predictive modeling, and data wrangling.
 </li>
 <li>
 Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.
 </li>
 <li>
 Excellent problem-solving and communication skills.
 </li>
 <li>
 Experience with Agile/Scrum methodologies is a plus.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Love About Working Here
 
 
 
 <ul>
 <li>
 Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
 </li>
 <li>
 Career Growth Opportunities&mdash;Access diverse roles and career development programs.
 </li>
 <li>
 Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
 
 
 </li>
 </ul>
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

<div>At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
<div><div><div><h2 class="jobSectionHeader">Your Role
</h2></div><div>We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will be responsible for extracting insights from complex datasets, building predictive models, and supporting data-driven decision-making across manufacturing operations.
Key responsibilities of this role:
<ul><li>Collect, clean, and preprocess structured and unstructured data from various sources.
</li><li>Develop and implement statistical models, machine learning algorithms, and data mining techniques.
</li><li>Perform exploratory data analysis to identify trends, patterns, and anomalies.
</li><li>Translate business problems into analytical solutions and communicate findings effectively.
</li><li>Collaborate with cross-functional teams to integrate data science solutions into business processes.
</li><li>Create visualizations and dashboards to present insights to stakeholders.
</li><li>Continuously monitor model performance and update models as needed.
</li><li>Document methodologies, experiments, and results for reproducibility and knowledge sharing.
</li></ul></div></div><div><div><h2 class="jobSectionHeader">Your Profile
</h2></div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
</li><li>2&ndash;5 years of experience in data science or advanced analytics, preferably in a manufacturing context.
</li><li>Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).
</li><li>Experience with data visualization tools such as Power BI, Tableau, or matplotlib.
</li><li>Strong understanding of statistical analysis, predictive modeling, and data wrangling.
</li><li>Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.
</li><li>Excellent problem-solving and communication skills.
</li><li>Experience with Agile/Scrum methodologies is a plus.
</li></ul></div></div><div><div><h2 class="jobSectionHeader">What You&rsquo;ll Love About Working Here 
</h2></div><div></div><div><div><ul><li>Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
</li></ul></div><div><ul><li>Career Growth Opportunities&mdash;Access diverse roles and career development programs.
</li></ul></div><div><ul><li>Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
</li></ul></div></div></div></div>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div>

talabat

<div>
 
 
 Company Description:
 
 
 
 
 
 
 talabat is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 
 Role Summary:
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 
 
 
 As a data scientist on the analysis track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain including logging, data modeling, analysis, reporting, and experimentation.
 
 
 
 
 
 
 What&rsquo;s On Your Plate?
 
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of work, our tooling, and our internal training programs.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 What Did We Order?
 
 
 
 
 
 
 
 Technical Experience:
 
 
 
 
 
 <ul>
 <li>
 Excellent SQL experience
 </li>
 <li>
 
 A/B testing, experimentation (randomization, burn-in/out periods, switchback experiments) - mandatory experience
 
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data analysis lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.
 </li>
 <li>
 Experience with classical ML frameworks (e.g. Scikit-learn, XGBoost, LightGBM, ...) is a plus.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 3-5 years of overall experience working in data science and machine learning.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator.
 </li>
 <li>
 An excellent communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
 
 
</div>

Explore 3335+ Senior data scientist in Dubai this September. Find roles across top companies and apply now to boost your career.

3335 senior data scientist jobs IN Dubai

Senior Data Scientist II

Lead Data Scientist

Senior / Lead AI Scientist (Personalisation & GenAI)

Data Scientist

Data Scientist

Data Scientist

Data Scientist