299 Senior Data Scientist jobs in the United Arab Emirates

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
  

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.

• 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.

5 to 10+ years of experience working with advanced analytical and statistical and programming skills in languages such as R, Python, or Java

We are looking for a Data Scientists with 5 to 10+ years of experience are responsible for analyzing and interpreting complex data sets to identify trends, patterns, and relationships. They use their findings to develop predictive models and algorithms to help organizations make better decisions and improve operations. Data Scientists work with a variety of data, including structured data from databases and unstructured data from social media, sensors, and weblogs. They must be able to effectively communicate their findings to non-technical audiences

5 to 10+ years of experience working with dataAdvanced analytical and statistical skillsStrong programming skills in languages such as R, Python, or JavaExcellent communication and presentation skillsAbility to effectively work in a team environmentModerate to Expert Experience in data mining. Knowledge of SQL, Mongo DBFamiliarity with Scala, Java or C++ is an assetDevelop predictive models and algorithms to help organizations make better decisions and improve operationsWork with a variety of data, including structured data from databases and unstructured data from social media, sensors, and web logsEffectively communicate findings to non-technical audiences

Send your CV to with the subject line: Application for Data Scientist Position

Location: Dubai, UAE (Visa sponsorship and relocation assistance provided)

Annual Base Salary range of $80,000 - $110,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas and Power markets. Established in 2017, we are shaping the future of global commodity trading with a focus on deep analytics. Our success is driven by our people, whom we back with real responsibility from the start. At Cobblestone Energy, excellence is valued and extraordinary talent from around the world is welcomed. Our flat organisational structure encourages a culture of innovation, granting team members autonomy and ownership of their work.

Cobblestone Values

• Lifelong learning with continuous reflection
• Independent thinking through a meritocracy of ideas
• The team is more important than the individual.
• Relentless pursuit of excellence
• Hiring and keeping only the most effective people
• Others must benefit from our existence.

Role Description:

We are seeking a highly motivated and talented Data Scientist to join our dynamic team. With a passion for data-driven solutions and a strong academic background, the successful candidate will play a critical role in shaping business decisions and driving operational excellence through advanced analytics and predictive modelling

What we offer in this role

• A full-time, high-impact position within our dynamic Commercial team.
• A team of exceptional colleagues, committed to continuous learning and pushing the boundaries of what's possible.
• A career that challenges you to solve complex problems and rewards your drive for continuous innovation.
• A unique opportunity to work on impactful projects, making independent decisions that drive real-world outcomes.
• The chance to take full ownership of new projects, making high-impact decisions in a dynamic environment.
• Equity participation, ensuring long-term alignment

Key Responsibilities:

• Analyse large, complex datasets to generate actionable insights that drive critical business decisions
• Design and implement predictive models to optimize trading strategies and enhance market forecasting precision.
• Work closely with cross-functional teams to identify business needs and craft high-quality, data-driven solutions.
• Continuously stay at the forefront of data science and machine learning advancements, applying cutting-edge techniques to enhance power trading strategies.
• Deliver clear, concise, and actionable insights to stakeholders, ensuring that data-driven decisions are communicated effectively.

Requirements:

• 2-3 years of experience in data science or a related field, with a demonstrated record of achieving exceptional results.
• Strong academic background in computer science, mathematics, statistics, or a related field
• Outstanding problem-solving and critical thinking skills, capable of addressing complex, high-impact challenges.
• Expertise in Python programming, with an ability to apply it to advanced data science problems.
• Knowledge of machine learning algorithms and data visualization tools
• Exceptional communication and collaboration skills, with a demonstrated ability to excel in fast-paced, cross-functional environments

This is an outstanding opportunity for a driven and talented Data Scientist to join an innovative trading company and make a significant impact on our business operations. If you possess a passion for data science and a proven track record of success, we encourage you to apply.

Note: Experience in the power trading domain is highly desirable but not essential. We value exceptional talent and the ability to learn quickly

Important Note: This role is advertised globally; however, the job location is as specified in the job description.

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Organization
Arab Monetary Fund
Opening Date
Monday, December 23, :00-Monday, June 30, :00

The Arab Monetary Fund aims to onboard a"Data Scientist"in the Capacity Development and Innovation Department, reporting to the Knowledge and Innovation Division Chief.

Job Purpose
The Senior Data Scientist will manage, enhance, and align database management practices with international standards and ensure the reliability of the Arab Monetary Fund's economic database and the Arab Financial Markets database, in addition to applying advanced statistical methodologies to analyze data, facilitate results interpretation, and develop actionable insights to support the Arab Monetary Fund's flagship reports, studies, and other publications and facilitating decision-making processes and supporting key organizational activities through sophisticated data analysis and interpretation.

Key Accountability Areas and Activities
The key activities include, but are not limited to, the following:

• Understand plans, drawings, technical specifications, and in-depth database parameters.
• Align databases with the AMF's strategic objectives and ensure that their designs meet organizational, and member countries' needs.
• Apply advanced statistical analysis methods to interpret complex data sets and translate raw data into actionable insights and recommendations to support decision-making and reporting.
• Interpret raw data and transform it into actionable insights, feedback, and applications that support decision-making and inform the organization's publications and activities.
• Use big data, machine learning and other technics to improve data availability and analysis.
• Manipulate non-relational databases to extract key economic and financial developments.
• Provide accurate and relevant data analyses to assist in the development of reports, studies, bulletins, and other publications.
• Ensure data integrity and relevance in all published materials.
• Automatize data transformation and manipulation to expedite processes.
• Recommend improvements to data processes and systems to enhance functionality and support organizational objectives based on the best practices and latest technologies and technics in statistical analysis and database management.
• Collaborate closely with internal and external stakeholders to gather requirements, provide feedback, and deliver data-driven insights.
• Contribute to internal and external training effectively to both technical and non-technical audience.

Qualifications and Requirements

• A minimum of 5 years of experience in database management experience, particularly in statistical or financial sectors
• Bachelor's degree in business administration, finance, economics, investment management or a related field
• Master's degree in statistics, data science, or a related field in database management or statistics
• Excellent communication and writing skills in Arabic and English. French, as a third language, is a solid advantage

We offer an attractive package of benefits aligned with our employment policies, including a tax-free salary and supplementary allowances as housing, furniture and air ticket, schooling, and comprehensive medical insurance.

Only shortlisted candidates will be contacted.

• 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.

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: Spring 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 looks 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 key activities include, but are not limited to, the following:

Understand plans, drawings, technical specifications, and in-depth database parameters.

Align databases with the AMF's strategic objectives and ensure that their designs meet organizational, and member countries' needs.

Apply advanced statistical analysis methods to interpret complex data sets and translate raw data into actionable insights and recommendations to support decision-making and reporting.

Interpret raw data and transform it into actionable insights, feedback, and applications that support decision-making and inform the organization's publications and activities.

Use big data, machine learning and other technics to improve data availability and analysis.

Manipulate non-relational databases to extract key economic and financial developments.

Provide accurate and relevant data analyses to assist in the development of reports, studies, bulletins, and other publications.

Ensure data integrity and relevance in all published materials.

Automatize data transformation and manipulation to expedite processes.

Recommend improvements to data processes and systems to enhance functionality and support organizational objectives based on the best practices and latest technologies and technics in statistical analysis and database management.

Collaborate closely with internal and external stakeholders to gather requirements, provide feedback, and deliver data-driven insights.

Contribute to internal and external training effectively to both technical and non-technical audience.

Qualifications and Requirements

A minimum of 5 years of experience in database management experience, particularly in statistical or financial sectors

Bachelor's degree in business administration, finance, economics, investment management or a related field

Master's degree in statistics, data science, or a related field in database management or statistics

Excellent communication and writing skills in Arabic and English. French, as a third language, is a solid advantage

Company Industry

• Consulting
• Management Consulting
• Advisory Services

Department / Functional Area

• IT Software

Keywords

• Data Scientist

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