40 Data Scientist jobs in the United Arab Emirates

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

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

Overview

As a data scientist, your role is to collect, process, and analyze data to help organizations make better decisions.

• Your responsibilities may include cleaning and preparing data for analysis, running statistical models, and creating data visualizations to help others understand your findings.
• You may also be responsible for communicating your findings to non-technical audiences, and working with teams of other data scientists and engineers to build data-driven products and services.

• Strong analytical and mathematical skills, as well as experience with data-related software and tools.

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.

Location: Dubai, AE

Salary Range: To be discussed

Summary:
Python Data Scientist needed in Dubai with 4+ years in quantitative finance, FX/crypto, Python, and data mining. Relocation required.

Description:
We are seeking a highly skilled and motivated Python Data Scientist to join our dynamic team with a minimum of 4 years of work experience. The ideal candidate will have extensive knowledge in quantitative finance, with a focus on FX or cryptocurrency trading. This position requires a strong foundation in Python programming and linear models, as well as proven experience in data mining.

Key Responsibilities:

1. Collaborate with quantitative researchers to develop, tune, and refine trading models, ensuring optimal performance and accuracy.
2. Apply expertise in quantitative finance to analyse complex data sets and extract meaningful insights that can directly impact trading strategies.
3. Utilise Python to implement and maintain robust data analysis tools and algorithms.
4. Conduct extensive data mining to identify new trading opportunities and trends in the FX and cryptocurrency markets.
5. Develop and test linear and non-linear modelling techniques to improve predictive accuracy and model performance.
6. Prepare detailed analytics reports and communicate findings to stakeholders and team members to support data-driven decision-making.

Requirements:

1. Proven experience as a Data Scientist with a strong background in Python programming.
2. Advanced knowledge in quantitative finance, particularly in FX or crypto trading.
3. Proficiency in linear models and their application in financial modelling.
4. Demonstrated experience in data mining and handling large, complex datasets.
5. Ability to work closely and effectively with quantitative researchers and other team members.
6. Strong analytical skills with a keen attention to detail.
7. Excellent communication and presentation skills.

This will be a remote position initially and then the candidate will be relocated to Dubai, UAE. Must be willing to relocate.

Preferred Qualifications:

1. Advanced degree in Mathematics, Statistics, Computer Science, or a related field.
2. Experience with additional programming languages or analytical tools is a plus.

Interested?

At OPEX Associates, we’re passionate about making advanced technological efficiencies accessible to all. If you enjoy problem solving, collaborative environments, and are always seeking new ways to find solutions, then we’d like to work with you.

OPEX Associates has an immediate opening for a Senior Data Scientist. This remote position will serve as the primary consultant between OPEX Associates and the client. This person is responsible for documenting each phase of development and communicating with the client throughout the process.

Department: Project Management

Project Location(s): Dubai, UAE

Education: Master's Degree

Compensation: 75K per annum

• Lead in developing strategic data science engagements with key clients and lines of business to form & execute the next development of pipeline opportunities.
• Lead and be accountable for the delivery of core data science assets (such as our SaaS platforms) in client-facing settings.
• Be a role model while managing junior staff on project and product teams.
• Support our growth accelerator pipelines.

• Practical experience from industry and professional services in delivering significant and valuable advanced analytics projects and/or assets.
• Engagement of technical and senior stakeholders.
• Ability to manage and coach a team of data scientists.
• Delivery of projects on time and within budget for high-profile clients.
• Understanding of requirements for software engineering and data governance in data science.

nybl is looking for our next generation of data scientists. We pride ourselves on growing our team and are always looking for the brightest talent to join us. Attitude is the most important trait we are looking for above all else.

You will be working on transforming data into intelligence by developing innovative Artificial Intelligence (AI) solutions and integrating them with cutting-edge Internet of Things (IoT) technologies. Candidates must prove that they have the will, determination and ambition to be part of a team that's going to be the next Camel of the Middle East.

responsibilities

• work closely with nybl to identify issues and use data to propose solutions for effective decision making
• build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation
• use machine learning tools and statistical techniques to produce solutions to problems
• test data mining models to select the most appropriate ones for use on a project
• maintain clear and coherent communication, both verbal and written, to understand data needs and report results
• create clear reports that tell compelling stories about how customers or clients work with the business
• assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• horizon scan to stay up to date with the latest technology, techniques and methods
• conduct research from which you'll develop prototypes and proof of concepts
• stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

required skills, abilities, education, and experience

• Experience and knowledge in statistical and data mining techniques using (e.g., python, R, SQL)
• Experience and knowledge in applying advance Machine Learning techniques (e.g., Neural networks, supervised and unsupervised ML, computer vision and image processing, text analysis)
• Experience and knowledge in big data analysis and management and distributed computing tools (e.g., Hadoop, Hive, Spark)
• Experience and knowledge in one or more programming languages (C, C#, Java)
• Experience and knowledge in web development frameworks (javascript, React, node.js).
• Experience analyzing data from 3rd party providers: (e.g., Google Analytics, Site Catalyst, Facebook Insights)
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Willingness to learn new technology.
• Able to work independently on researching solutions and applying findings.

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

EchoTwin AI is seeking a Data Scientist to drive data-driven decision-making and evaluate the real-world impact of deployed systems. As a key member of our small but impactful team, you will work at the intersection of data analytics, machine learning, and business strategy to provide actionable insights. This role offers a unique opportunity to collaborate with transit agencies, product teams, finance, engineering, and company leadership to solve complex problems and unlock new opportunities using data.

• Design and implement data-driven solutions to support strategic decision-making across the company.

• Develop rigorous methods to assess transit performance and broader impacts across all deployment stages, controlling for confounders and external factors.

• Analyze structured and unstructured data to identify trends, anomalies, and opportunities that can enhance product offerings and operational efficiencies.

• Collaborate with engineering teams to operationalize models and ensure seamless integration into our data pipelines.

• Build and maintain dashboards and reports that track key performance indicators (KPIs) to provide transparency and drive business goals.

• Conduct exploratory data analysis (EDA) to inform product development and business strategies.

• Act as a data advocate by effectively communicating findings and recommendations to technical and non-technical stakeholders.

• Contribute to developing scalable data science workflows and best practices within the organization.

• Master’s or PhD in Data Science, Statistics, Computer Science, Economics, or a related field.

• 5+ years of experience in data science, machine learning, or a related field, with a track record of delivering impactful data solutions.

• Proficiency in Python and experience with data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.

• Strong experience with SQL and working knowledge of data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.

• Expertise in statistical analysis, machine learning algorithms, and model evaluation techniques.

• Familiarity with data pipeline tools and frameworks such as Airflow, DBT, or similar.

• Experience working with visualization tools like Tableau or Looker to translate insights into actionable recommendations.

• Excellent problem-solving skills with the ability to analyze complex data and provide clear, data-driven insights.

• Strong communication skills with the ability to present findings to both technical and business audiences.

• Experience working with cloud platforms, especially AWS, and deploying models using cloud-based services.

• Familiarity with geospatial analytics and processing spatial datasets.

• Experience working with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).

• Prior experience in a startup environment and a desire to make a significant impact.

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!

• Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.