230 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

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Responsibilities :

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Requirements and skills :

• Proven experience as a Data Scientist
• Experience in data mining
• Understanding of machine-learning and operations research
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Analytical mind and business acumen
• Problem-solving aptitude
• Excellent communication and presentation skills
• BSc / BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

J-18808-Ljbffr

2 days ago Be among the first 25 applicants

We are seeking a Data Scientist to support our business with data-driven insights and advanced analytics solutions. This role is responsible for analyzing complex datasets, developing predictive models, and collaborating with cross-functional teams to enhance decision-making across the organization.

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Build, test, and deploy predictive models and machine learning algorithms for business use cases.
• Collaborate with cross-functional teams, including procurement, engineering, marketing, and operations.
• Design and implement A / B tests and evaluate their impact.
• Develop dashboards, reports, and visualizations to communicate findings to stakeholders.
• Assist in improving data pipelines, workflows, and model deployment strategies.
• Stay updated with the latest industry trends and best practices in data science.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field
• Minimum of 2 years of experience in a data science or analytics role
• Strong skills in Microsoft Excel
• Proficiency in Python for data analysis and modeling
• Strong SQL and NoSQL skills for querying large datasets
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Ability to communicate technical findings to non-technical stakeholders
• Experience with data visualization tools such as Power BI, matplotlib, seaborn, or Plotly
• Familiarity with computer vision libraries and NLP / LLM principles

Preferred Qualifications

• Experience working with cloud platforms such as AWS, GCP, or Azure
• Exposure to MLOps practices or model deployment pipelines
• Familiarity with workflow orchestration tools such as Apache Airflow

How to Apply

If you meet the above qualifications and are looking to contribute to a data-driven environment, we encourage you to apply through LinkedIn or send your CV to

Seniority level

Seniority level

Entry level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Food & Beverages

Referrals increase your chances of interviewing at Dunkin' UAE by 2x

Sign in to set job alerts for “Data Scientist” roles.

Chief Specialist – Artificial Intelligence and Data Science

Dubai, Dubai, United Arab Emirates 6 hours ago

Data Scientist -AI and Generative AI (GenAI)

Senior Officer – Artificial Intelligence & Data Science Center (UAE Nationals Only)

Director Data Scientist - Analysis - Growth

Data Scientist and Generative AI & Data Analytics

Data Scientist - AI and Advanced Analytics | Real Estate | AFET

Dubai, Dubai, United Arab Emirates 2 hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

J-18808-Ljbffr

About Us

Established in 2022, Astra Tech has rapidly expanded its influence by strategically acquiring and developing key platforms such as PayBy, Rizek, Quantix, and Botim. These acquisitions have culminated in the creation of the world’s first Ultra App, Botim, which seamlessly integrates fintech, e-commerce, AI-powered tech solutions, and communication services into one intuitive and user-friendly experience. This powerful combination allows users to manage their finances, shop, and stay connected—all within a single, cohesive platform.

With over 150 million users across 155 countries, Astra Tech is more than just a tech company—it is a movement committed to enhancing lives through innovation. As a visionary leader in tech development and investment, our mission is clear: to revolutionize technology solutions for consumers and businesses, harnessing the power of AI to elevate digital experiences to unprecedented heights globally.

Role Summary

Extracting knowledge and insights from data to support organizational goals by collecting, cleaning, analysing, and interpreting large datasets using statistical, machine learning, and programming skills.

Responsibilities

• Data Collection and Preparation: Gathering data from various sources, cleaning and transforming it for analysis.
• Exploratory Data Analysis (EDA): Investigating data to identify patterns, trends, and anomalies.
• Model Building and Evaluation: Developing and validating statistical models and machine learning algorithms.
• Data Visualization: Creating clear and informative visualizations to communicate findings to stakeholders.
• Stakeholder Communication: Presenting results and recommendations to both technical and non-technical audiences.
• Strategic Recommendations: Providing data-driven insights to guide business decisions and strategies.

Requirements

• Master’s degree in Computer Science, Computer Engineering, Mathematics or Statistics preferred.
• Experience 7+ years in consumer technology platforms.
• Experience developing in Python, R, scikit-learn with demonstrated knowledge of good software engineering design principles.
• Experience working with Big data technology suites.
• Experience working with relational databases, SQL, data-modelling and dealing with large, complex, structured, and unstructured datasets.
• Extensive familiarity with machine-learning concepts and applications.
• Build statistical, predictive and machine learning models to facilitate Strategy, Product, Marketing, Sales, Customer Service and Technology teams drive business growth.
• Develop analytics-oriented solutions to solve complex business problems leading to data-driven decision making.
• Storyboard visualizations to educate stakeholders on findings.
• Support data activities related to the collection, profiling, cleansing, and reporting of analytical models.
• Participate in planning sessions with key stakeholders to develop use cases and requirements for data-driven analytical solutions.
• Experience developing automating data pipelines as an asset.

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

Requirements

• 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

We are seeking a highly motivated Data Scientist to join our team.

The Data Scientists will be responsible for designing, implementing, and optimizing data solutions using Microsoft’s data platform technologies, including Azure Data Services, SQL Server, Power BI, and Fabric. This role involves collaborating with business stakeholders to gather requirements, develop data models, and deliver actionable insights through reports and dashboards.

Key Responsibilities :

• Design, develop, and maintain data models, ETL / ELT pipelines, and data warehouses using Microsoft technologies (SQL Server, Azure Data Factory, Synapse Analytics, Databricks, etc.).
• Analyze business requirements and translate them into technical specifications for data solutions.
• Perform data profiling, cleansing, and transformation to ensure data quality and integrity.
• Collaborate with business data engineers, and BI developers to understand data needs and deliver solutions.
• Collaborate with business stakeholders to understand data needs and translate them into technical requirements.
• Implement and maintain data governance, metadata management, and security best practices.
• Troubleshoot and resolve data-related issues and performance bottlenecks.
• Analyze data from Microsoft Dynamics 365 (CRM) to provide insights that support sales, marketing, and customer service operations.
• Develop dashboards, reports, and KPIs using Power BI and other Office 365 tools (Excel, Power Query, Power Automate).
• Cleanse, validate, and ensure data quality within the CRM system.
• Monitor data integrity and work on deduplication, normalization, and enrichment tasks.
• Develop and maintain documentation related to data models, processes, and definitions.
• Perform ad-hoc analysis and deliver data-driven recommendations.
• Contribute to data governance and compliance efforts, ensuring data usage adheres to company and regulatory standards.

Required Skills & Experience :

• Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, Economics, or a related quantitative field.
• 5+ years of experience as a Data Analyst, Business Intelligence Analyst, or similar role with a strong focus on Microsoft data technologies.
• Strong proficiency in SQL for data querying, manipulation, and database management.

o Connecting to various data sources.

o Data modeling (DAX, relationships).

o Creating interactive reports and dashboards.

o Publishing and managing reports in Power BI Service.

• Design, develop, and maintain data pipelines, ETL processes, and data warehouses using Azure Data Factory, Synapse Analytics, SQL Server, and Databricks.
• Proven experience in data cleaning, transformation, and validation.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong communication and presentation skills, with the ability to explain complex data insights to non-technical audiences.

Preferred Qualifications :

• Microsoft Certified : Azure Data Engineer Associate, Data Analyst Associate, or similar certifications.
• Experience with cloud data architecture, big data, or real-time data processing.
• Knowledge of DevOps practices for data projects (CI / CD pipelines for data deployments).
• Familiarity with tools like Git, Azure DevOps, or other version control systems.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

IT Services and IT Consulting

Referrals increase your chances of interviewing at 1551 Technology Solutions LLC by 2x

Sign in to set job alerts for “Data Scientist” roles.

Software Engineer (Python) - AI Platform

Applied Data Science Associate (Customer Facing) - Dubai

Senior ML Engineer (Search & Personalization Team)

Front End Developers - AI Training (Remote)

Senior AI Inference Engineer (100% Remote - United Arab Emirates)

Software Engineer - Python - Container Images

Python and Kubernetes Software Engineer - Data, AI / ML & Analytics

Senior Principal Customer Data Scientist

Software Engineer - Python - Container Images

Software Engineer - Python - Container Images

Software Development Engineer in Test (SDET)

Global Village, Dubai, United Arab Emirates 2 months ago

Rev-celerator Graduate Programme 2026 : Python Software Engineer

Python and Kubernetes Software Engineer - Data, Workflows, AI / ML & Analytics

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.