94 Data Scientist jobs in Dubai

В формирующееся направления Data Science ищем опытного Data Scientist , который сможет эффективно взаимодействовать с другими командами, генерировать и проверять гипотезы, а успешные решения внедрять в продукт.

По мере роста команды и появления интересов в конкретных направлениях, будет возможность стать тимлидом.

У компании разные бизнес-направления (склады с логистикой, маркетплейсы), поэтому могут быть разнообразные задачи : от оптимизации процессов на складах до рекомендаций при поиске товаров и разработки чат-ботов.

EMEX — международный холдинг, который включает торговый, информационный, и фулфилмент бизнесы: EMEX.DWC в ОАЭ, фулфилмент оператор HWC и EMEX.ru.

EMEX — стабильный бизнес: на протяжении 20+ лет мы прибыльны каждый квартал . Сейчас у бизнеса есть задача — быть эффективным , а для этого нужно достичь промежуточных целей по измеримости и управляемости. Для этого мы перепроектируем структуру всех компаний и значительно усиливаем все наши направления.

• Разработка новых решений (ML-модели, оптимизационные модели и т.д.)
• Взаимодействие с другими командами (презентация результатов, выявление потребностей, валидация гипотез).

• У тебя большой опыт работы в Data Science и ты знаком со всем основным теоретическим (мат.статистика, методологии тестирования, ml-модели, теория оптимизации) и технологическим стеком (Python: pandas, scikit-learn, sciPy, etc.). Ты работаешь в сфере DS более 3 лет и у тебя техническое образование;
• Ты готов работать руками и не боишься сырых данных. Отлично знаешь SQL, возможно даже имеешь опыт работы в BI-системах;
• Ты проактивен и не боишься экспериментировать. Для тебя естественны желания протестировать новый алгоритм на основе прочитанной статьи, найти неэффективность в процессе и смоделировать альтернативный процесс, покопаться в данных и затем сформулировать новые гипотезы;
• Ты ориентирован на бизнес-результат и не стремишься все решать только с помощью ml-модели. У тебя прокачено критическое мышление и problem solving, ты можешь оценить свое решение с точки зрения бизнеса;
• Ты четко доносишь свои мысли и можешь доступно презентовать результаты. Для тебя не проблема объяснить смысл ROC-AUC коллеге, визуализировать результат с помощью понятного графика или презентовать новую статью.

• Ты работал в фулфилменте (хранение, сортировка, логистика) или в маркетплейсах и классифайдах;
• Ты занимался задачами комбинаторной оптимизации или задачами рекомендаций и поиска;
• У тебя за спиной несколько ML-проектов полного цикла.

Удаленный формат работы из любой страны мира. С нами можно работать по ТК РФ (оплата в рублях) или через контракт через Дубай (оплата в USD);

Возможность быстро расти . Сейчас есть много вакуума ответственности, который можно занимать;

Международный продукт , улучшающий потребительский опыт предпринимателей в разных странах, с большими амбициями и ресурсами для дальнейшего глобального развития;

Работу с высоким уровнем свободы , возможность принимать решения и выбирать пути решения задач самостоятельно;

Отсутствие бюрократии.

COMPANY DESCRIPTION

We are the world’s largest performance marketing network, with over 3,000 experts in 68 offices in 48 markets. We offer a complete suite of crafts designed to deliver customer-centric performance marketing solutions. Armed with intelligent insights and an audience first approach our team of expert consultants deliver integrated media, data and technology solutions that help brands better connect with consumers at every stage of their digital marketing transformation.

In MENA, Kinesso are the Digital Marketing Transformation experts and provide services focused on delivering marketing efficiencies and return of investment for brands across the MENA region.

ROLE OVERVIEW

At Kinesso, we rely on powerfully insightful data to help brands better connect with their consumers at every stage of their marketing transformation.

Our data science team has mathematical and statistical expertise, natural curiosity, and a creative mind that’s not so easy to find. As a data scientist you mine, interpret, and clean data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. And will “slice and dice” data using your own methods, creating new visions for the future.

OBJECTIVES

• Collaborate with advertiser’s brand team and media agencies to develop an understanding of needs.
• Research and devise innovative statistical models for data analysis.
• Communicate findings and insights effectively to both technical and non-technical stakeholders through reports, presentations, and visualizations.
• Enable smarter business processes—and implement analytics for meaningful insights.
• Become a thought leader on the value of data by finding new features or products by unlocking the value of data.
• Develop and implement machine learning models and algorithms to solve complex business problems.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies .
• Work with product and engineering teams to integrate data science solutions into production systems
• Collaborate with data engineers to design and optimize data pipelines and architectures.

• Keep current with technology and industry developments.

RESPONSIBILITIES

• Analyse data for trends and patterns using machine learning algorithms and Interpret data with a clear objective in mind.
• Identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the team to strategize and execute the development of data products.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities for improvement.
• Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets and variables.
• Working on the Media Mix Models , Full Funnel Model, Multitouch Attribution etc. to optimize the media
• Devise and utilize algorithms and models to mine data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.
• Conduct causality experiments by applying A/B experiments to identify the root issues of an observed result.
• Communicate analytic al solutions to stakeholders and implement improvements as needed.

SKILLS & QUALIFICATIONS

• Bachelor’s degree in statistics, applied mathematics, or related discipline.
• Minimum of 4-6 years in a similar role.
• Proficiency with data mining, mathematics, and statistical analysis
• Advanced pattern recognition and predictive modelling experience
• E xperience of Media Mix Models, Multitouch Attribution on the working knowledge
• Media understanding is preferrable
• Additional skills of Gen AI, NLP, NLU are optional/ added advantage
• Experience with Excel, Tableau /Looker Studio , SQL, and languages: Python, R
• Storytelling and Data Visualization
• Media understanding is preferrable
• Additional skills of Gen AI, NLP, NLU are optional/ added advantage
• Working knowledge of supervised and unsupervised machine learning techniques such as regression, clustering, classification, decision tree learning, and artificial neural networks
• Comfort working in a dynamic, data- oriented team with several ongoing concurrent projects.
• Professional certifications in data science

PREFERRED QUALIFICATIONS

• Master’s degree in stats, applied math, or related discipline.
• Experience with No SQL, Pig, Hive, and PySpark , Big Query.

• Define and execute a holistic data science strategy aligned with B2C growth goals.
• Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and DR visibility.
• Influence key decisions across marketing campaigns, product features and merchant onboarding through predictive insights.
• Serve as a data evangelist, promoting cross-functional alignment and a strong data-first mindset.
• Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.

• Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.
• Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.
• Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.
• Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.
• Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.
• Support Sales & Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.
• Implement real-time analytics dashboards to track KPIs (active users, redemptions, DR revenue) and provide actionable insights.

• Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.
• Lead development of dashboards and self-serve analytics tools for key stakeholders.

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

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

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

• Competitive salary and benefits package.
• Opportunity to work with an energetic and innovative company.
• A chance to contribute to the success of a well-known UAE brand.

Data Scientist (AI & ML)
Location: Bahrain
Employment Type: Full-Time
Industry: Artificial Intelligence / Machine Learning / Cloud Technology
Experience Level: Mid-Senior (Minimum 3 years)

Were looking for a passionate and experienced Data Scientist with a strong background in AI/ML cloud platforms and continuous deployment practices. In this role youll help design and deliver cutting-edge machine learning solutions for real-world applications in a fast-moving high-impact environment.

Youll join a collaborative and innovation-driven team working on meaningful problems with global reach. If youre ready to turn data into intelligent action lead impactful projects and shape the future of AI this is your opportunity.

• Design build and deploy robust AI/ML models to solve complex business challenges

• Work closely with cross-functional teams to integrate models into production systems

• Continuously evaluate and refine models to optimize performance and reliability

• Clean analyze and transform raw data into usable training and validation sets

• Design data pipelines and identify new data sources to enhance model effectiveness

• Drive experimentation and hypothesis testing with statistical rigor

• Deploy AI/ML models on cloud platforms (e.g. AWS Azure GCP)

• Optimize performance for scalability and real-time applications

• Implement CI/CD pipelines to streamline development and deployment workflows

• Conduct code reviews and mentor junior engineers

• Document system designs code and technical decisions for knowledge sharing

• Work in agile sprints and communicate progress with stakeholders

• Masters or Ph.D. in Computer Science AI Machine Learning Data Science or a related field

• Minimum 3 years of experience in building and deploying AI/ML models

• Proficient with Python or R and machine learning libraries such as TensorFlow PyTorch or scikit-learn

• Experience deploying models to cloud environments (AWS GCP Azure)

• Solid understanding of algorithms model evaluation and statistical principles

• Strong analytical thinking problem-solving and attention to detail

• Excellent communication and teamwork skills

• Cloud certifications (AWS Certified Machine Learning Azure AI Engineer etc.)

• Experience in startup or high-growth tech environments

• Prior involvement in client-facing roles or solution design for external stakeholders

• Familiarity with MLOps and model monitoring frameworks

• A fast-paced startup-inspired environment with a strong tech vision

• Opportunities to work on high-impact AI/ML projects across diverse industries

• A collaborative multicultural team that values growth and innovation

• Flexible work culture ownership of your projects and visibility across the business

Ready to push boundaries in AI and machine learning Apply now and help us build the future of intelligent systems.

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 experience is everything, and that's why we are passionate about creating unforgettable experiences for our customers, partners, and employees.

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, including voucher redemptions and Digital Reach monetization.

• Define and execute a holistic data science strategy aligned with B2C growth goals.
• Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and Digital Reach visibility.
• Influence key decisions across marketing campaigns, product features, and merchant onboarding through predictive insights.
• Serve as a data evangelist promoting cross-functional alignment and a strong data-first mindset.
• Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.

• Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.
• Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.
• Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.
• Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.
• Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.
• Support Sales & Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.
• Implement real-time analytics dashboards to track KPIs (active users, redemptions, Digital Reach revenue) and provide actionable insights.

• Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.
• Lead development of dashboards and self-serve analytics tools for key stakeholders.

• At least 3-5 years of experience in Data Science, Machine Learning, or Advanced Analytics, ideally in a B2C e-commerce, subscription, or digital commerce environment.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Proficiency in Python, R, SQL, and Big Data platforms such as BigQuery, MLFlow, Databricks, GCP, or AWS.
• Deep understanding of machine learning (e.g., XGBoost, LightGBM, scikit-learn) and predictive modeling techniques.
• Experience designing experiments (A/B testing) and applying statistical inference techniques.

• Experience with mobile app analytics, offer redemption behavior, or consumer loyalty ecosystems.
• Exposure to advertising analytics and performance optimization for in-app marketing/ads (like Digital Reach).
• Familiarity with modern data visualization tools such as Tableau or Power BI.

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

• Competitive salary and benefits package.
• Opportunity to work with an energetic and innovative company.
• A chance to contribute to the success of a well-known UAE brand.

Senior IC

• Define and execute a holistic data science strategy aligned with B2C growth goals.
• Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and DR visibility.
• Influence key decisions across marketing campaigns, product features and merchant onboarding through predictive insights.
• Serve as a data evangelist, promoting cross-functional alignment and a strong data-first mindset.
• Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.
  

• Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.
• Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.
• Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.
• Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.
• Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.
• Support Sales & Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.
• Implement real-time analytics dashboards to track KPIs (active users, redemptions, DR revenue) and provide actionable insights.
  

• Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.
• Lead development of dashboards and self-serve analytics tools for key stakeholders.
  

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

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

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

• Competitive salary and benefits package.
• Opportunity to work with an energetic and innovative company.
• A chance to contribute to the success of a well-known UAE brand.

• Collaborate with advertiser’s brand team and media agencies to develop an understanding of needs.
• Research and devise innovative statistical models for data analysis.
• Communicate findings and insights effectively to both technical and non-technical stakeholders through reports, presentations, and visualizations.
• Enable smarter business processes—and implement analytics for meaningful insights.
• Become a thought leader on the value of data by finding new features or products by unlocking the value of data.
• Develop and implement machine learning models and algorithms to solve complex business problems.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies.
• Work with product and engineering teams to integrate data science solutions into production systems
• Collaborate with data engineers to design and optimize data pipelines and architectures.

• Keep current with technology and industry developments.

• Analyse data for trends and patterns using machine learning algorithms and Interpret data with a clear objective in mind.
• Identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the team to strategize and execute the development of data products.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities for improvement.
• Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets and variables.
• Working on the Media Mix Models, Full Funnel Model, Multitouch Attribution etc.to optimize the media
• Devise and utilize algorithms and models to mine data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.
• Conduct causality experiments by applying A/B experiments to identify the root issues of an observed result.
• Communicate analytical solutions to stakeholders and implement improvements as needed.

• Bachelor’s degree in statistics, applied mathematics, or related discipline.
• Minimum of 4-6 years in a similar role.
• Proficiency with data mining, mathematics, and statistical analysis
• Advanced pattern recognition and predictive modelling experience
• Experience of Media Mix Models, Multitouch Attribution on the working knowledge
• Media understanding is preferrable
• Additional skills of Gen AI, NLP, NLU are optional/ added advantage
• Experience with Excel, Tableau/Looker Studio, SQL, and languages:Python, R
• Storytelling and Data Visualization
• Media understanding is preferrable
• Additional skills of Gen AI, NLP, NLU are optional/ added advantage
• Working knowledge of supervised and unsupervised machine learning techniques such as regression, clustering, classification, decision tree learning, and artificial neural networks
• Comfort working in a dynamic, data-oriented team with several ongoing concurrent projects.
• Professional certifications in data science

• Master’s degree in stats, applied math, or related discipline.
• Experience with NoSQL, Pig, Hive, and PySpark, Big Query.

Dubai, United Arab Emirates | Posted on 06/05/2025

One of the bestlogistics companies in Dubai, UAE. It provides best cargo services in all methods air cargo, ship cargo & Warehousing in all over UAE.

We are seeking a Data Scientist to join our fast-growing team in Dubai. The ideal candidate will play a critical role in analysing data across our logistics operations to uncover insights, optimize performance, and support data-driven decision-making. This is a unique opportunity to apply your data expertise in a high-impact role that directly supports business growth and operational excellence.

Key Responsibilities

• Analyse large, complex datasets to identify trends, patterns, and opportunities within our supply chain operations.
  
• Build predictive models and algorithms to optimize logistics processes (routing, inventory, delivery times, etc.)
  
• Design data visualisations and dashboards to support internal teams with actionable insights
  
• Collaborate with cross-functional teams including operations, IT, and customer service
  
• Continuously improve data quality, integrity, and reporting capabilities
  
• Translate business challenges into data solutions using machine learning and statistical models
  

• Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, or related field
  
• 2+ years of experience in a data science or analytical role (Logistics experience is a plus)
  
• Strong knowledge of Python, R, SQL, and data visualisation tools (e.g., Tableau, Power BI)
  
• Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow)
  
• Excellent problem-solving and communication skills
  
• Ability to work independently and collaboratively in a fast-paced environment
  
• A chance to work with a forward-thinking logistics company reshaping supply chain solutions
  
• A collaborative and innovation-driven work culture
  
• Competitive salary and benefits
  
• Modern office in the heart of Dubai, UAE
  

Get AI-powered advice on this job and more exclusive features.

Data Scientist (Fintech)

On-site – Dubai, UAE

Full-Time

FundingPips

FundingPips is a leading FinTech firm revolutionising the forex and futures industry, serving over one million active traders globally. We’re now looking for a Data Scientist to join our thriving team!

We’re hiring our first dedicated Data Scientist to take charge of advanced modelling, forecasting, and ML innovation across the business. This is a hands-on, exploratory role at the intersection of trading, product, and R&D. You'll collaborate with key stakeholders to drive meaningful change through data.

• Explore, clean, and analyze large-scale proprietary datasets (trader behavior, revenue, payouts, and more).
• Build predictive models for trader profitability, churn, payout forecasting, and more.
• Design and deploy ML-powered tools that support operations, risk, and product innovation.
• Collaborate with our Data Analyst and R&D Manager to turn ideas into working prototypes.
• Present insights and tools clearly to both technical and non-technical stakeholders.

• 3+ years of experience as a Data Scientist or Machine Learning Engineer
• Strong Python skills and experience with libraries like pandas, scikit-learn, TensorFlow or PyTorch
• Expertise in data wrangling, feature engineering, and model development
• Hands-on experience with forecasting, classification, or recommendation systems
• A curious, self-starting mindset — you thrive in ambiguity and know how to find value in noise
• Strong communication skills to influence through data
• Bonus: Experience or strong interest in trading, markets, or fintech

• Real impact: You’ll lead data-driven innovation from day one.
• Unmatched growth potential
• Collaborative culture: Engage with leadership, analysts, and product in an agile environment.
• Career growth: This role has the potential to evolve into a Head of Data Science position.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Referrals increase your chances of interviewing at FundingPips by 2x.

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