126 Senior Data Scientist Positions jobs in Dubai

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.

We are a trusted recruitment partner for organizations across the Middle East. Established in 2016, we specialize in delivering unparalleled talent solutions by leveraging our strategic market presence and understanding of evolving industry dynamics.

Our customer is seeking a Data Scientist to contribute to success in the Technical domain.

• Bachelor’s degree in a relevant field
• 3–7 years of relevant experience
• Strong communication and collaboration skills
• Proficiency with industry-standard tools/software
• Ability to manage multiple tasks and deadlines
• Knowledge of compliance and governance standards
• Experience in the related industry
• Strong problem-solving and analytical skills
• Ability to work in cross-functional teams
• Fluency in English; Arabic is a plus
• Proven track record of delivering results
• Adaptability to fast-paced environments

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.

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 "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 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.

Whiteshield combines AI with economic expertise to solve real policy challenges. In the AI Economics unit, you'll turn data into decisions that shape how governments and businesses set policy, manage resources, and plan for growth. You'll combine AI, machine learning, geospatial analysis, and economic modelling to extract actionable intelligence from sources like satellite imagery, trade data, and macroeconomic indicators. You'll design and automate data pipelines, power interactive dashboards and rankings, and build strategy tools that deliver measurable impact.

• Turn data into decisions that shape policy, resource management, and growth planning.
• Combine AI, machine learning, geospatial analysis, and economic modelling to extract actionable intelligence from diverse data sources.
• Design and automate data pipelines, power interactive dashboards and rankings, and build strategy tools with measurable impact.

• We are looking for strong data scientists and technically literate consultants who can understand a problem, ideate a solution, build it technically, and communicate it with clarity.
• Intellectual curiosity, problem-solving drive, and a focus on real-world impact are the priorities.

• Real influence and access - Shape national policy, competitiveness strategies, and sustainable growth plans while working directly with senior government officials, global institutions, and major corporations.
• Room to innovate - We encourage new methods and actively pilot new technologies.
• Cutting-edge tools - Work with AI, LLMs, predictive modelling, geospatial analytics, and simulation platforms.
• Structured growth - Learn from senior experts through hands-on mentoring and project-based skill transfer.

• Mid-Senior level

• Full-time

• Analyst

• IT Services and IT Consulting

We are seeking a Data Scientist to extract actionable insights from our data and drive data-driven decision-making. This role will play a pivotal part in analyzing data, building predictive models, and providing valuable insights to support our business objectives.

START DATE: January 2025

Reporting To: AI Economics Lead

The Data Scientist is responsible for leveraging data analysis, statistical modeling, and machine learning techniques to extract knowledge and insights from data to inform strategic decisions and solve complex business problems.

This role covers data analysis, statistical modeling, machine learning, and the development of data-driven solutions.

The Data Scientist will be a key member of our AI Economics Team, collaborating with policy consultants, data engineers, data analysts, product owners, and stakeholders to provide valuable insights from data.

1. Data Analysis: Analyze data to identify trends, patterns, and insights that can drive business decisions.
2. Statistical Modeling: Develop statistical models to analyze and interpret data and generate actionable insights.
3. Machine Learning: Apply machine learning algorithms to solve complex business problems and build predictive models.
4. Data Visualization: Create data visualizations and reports to communicate findings effectively.
5. Hypothesis Testing: Conduct hypothesis testing to validate and prove or disprove hypotheses based on data analysis.
6. Data Quality: Work with data engineers to ensure data quality and consistency for analysis.
7. Documentation: Maintain clear documentation of data analysis, modeling processes, and model performance.

1. Data Analysis Tools: Proficiency in data analysis tools such as Python, R, or similar.
2. Statistical Modeling: Strong knowledge of statistical modeling techniques and tools.
3. Machine Learning: Proficiency in data visualization tools like Tableau, Power BI, or matplotlib.
4. Hypothesis Testing: Understanding of hypothesis testing techniques and statistical significance.
5. API Frameworks: Strong command of API frameworks such as FastAPI, Postman, Swagger.
6. SQL: Proficiency in SQL for data retrieval and transformation.

1. Education: Bachelor's/Master's degree in Data Science, Statistics, Economics, Computer Science, or a related field.
2. Experience: 2+ years of experience in data science, with a focus on data analysis, statistical modeling, and machine learning.

1. Problem Solving: Proven ability to troubleshoot and address complex data analysis and modeling challenges.
2. Analytical Mind: Capable of understanding complex data and business problems and extracting insights.
3. Communication: Effective communication skills to convey complex data findings to non-technical stakeholders.
4. Detail Oriented: Attention to detail in data analysis, modeling, and documentation.
5. Agility: Flexibility to adapt to changing data requirements and priorities.
6. People Oriented: Keeping individual authenticity, build meaningful connections, and firmly believe that we are stronger as One team.
7. Empowerment: Take ownership in work, making decisions, and initiating internal projects.
8. Foresight: Be a forward thinker who demonstrates hyper-awareness of market trends and look beyond the present to provide innovative and sustainable solutions.
9. Work Ethic: Foster a positive culture, built on integrity, transparency, and accountability, while always striving for excellence.

At Whiteshield, we are committed to providing equal opportunities in employment regardless of individual characteristics. We recognize that our employees feel appreciated when their thoughts and values are respected and considered. We're committed to maintaining and driving an inclusive culture and workplace where all talents are nurtured and feel empowered to contribute.

At Whiteshield, we seek to reward those who demonstrate exceptional individual achievements above and beyond expectations in the pursuit of continuously seeking excellence for our clients. When individuals excel, we show our appreciation and celebrate achievements by generously recognizing and supporting the career progression of those who make unique contributions to the firm.

At Whiteshield, we recognize that our employees are the core to our success and believe that when our exceptional talent comes together, and wellbeing is a priority – innovation thrives. We are dedicated to promoting and encouraging a healthy work-life balance and adopting a genuinely flexible working model to empower our employees to pursue a balance that suits their personal needs.

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

As a Data Scientist within the CRM & Loyalty team, you'll transform customer and operational data into powerful strategies that elevate how we engage, retain, and grow our customer base. You will own and champion measurement and advanced analytics, uncovering patterns that drive smarter decisions and tangible results.

This is a high-impact role where your insights will directly influence key decisions, fuel loyalty innovation, and shape the customer journey across our e-commerce platform, mobile app, retail stores and B2B accounts. You'll partner with cross-functional teams to address strategic challenges in retail operations, pricing & promotions, category strategy, and B2B performance — solving high-value business problems with data. By combining statistical modelling, machine learning, and domain knowledge, you will provide deep, actionable insights that empower the business to anticipate customer needs, design personalized experiences, and strengthen our position as the region's leading master franchise of a global coffee brand.

• Build and evolve customer data architecture to support advanced analytics, segmentation, and campaign personalization across CRM and loyalty ecosystems.


• Develop predictive models and analytical frameworks to forecast customer behavior, optimize program performance, and drive data-informed decision-making.


• Transform complex data into actionable insights, delivering clear recommendations that improve targeting, retention, and lifetime value.


• Partner with cross-functional teams (e.g., BI, marketing, e-commerce, retail, category) to align data science efforts with strategic business goals.


• Continuously explore new tools and trends in data science to maintain technical excellence and deliver innovative customer solutions.


• Perform statistical analysis and / or data mining methods to discover patterns and relations in data to answer business questions.

• Minimum 5 years' experience in data analytics.


• Proficient in SQL and Python / R, using them to solve real business problems.


• Strong understanding of customer behaviour and drivers of retention, loyalty, and value.


• Skilled at simplifying complex concepts and collaborating with marketing, e-commerce, and BI teams.


• Knowledge in data visualization tools like Power BI or Tableau or Looker


• Possess segmentation, uplift modelling, and campaign design enthusiasm.


• Experience in consuming APIs and automating processes with APIs


• Experience in retail business / e-commerce

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.

As a Data Scientist you will

• 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.