97 Senior Data Scientist Positions jobs in Dubai

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.

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.
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Gather, clean, and analyze large and complex datasets from various sources.

Build and deploy predictive and machine learning models (ML / DL) to solve real business challenges.

Identify optimization opportunities and make data-driven recommendations.

Design custom algorithms tailored to different business areas (marketing, product, operations, finance, etc.).

Work closely with Data Engineers, Analysts, and Product Managers.

Communicate findings through clear visualizations and reports that support strategic decisions.

Stay up to date with the latest trends in data science, machine learning, and AI.

Required Profile :

Master's degree (or higher) in statistics, applied mathematics, computer science, or a related field.

At least 3 years of professional experience in applied data science.

Strong proficiency in Python and libraries such as Pandas, Scikit-learn, TensorFlow, PyTorch, etc.

Solid knowledge of SQL and experience with data visualization tools (Matplotlib, Seaborn, Plotly, etc.).

Proven experience in deploying models into production environments.

Analytical mindset, scientific rigor, and the ability to translate technical results into business language.

Nice-to-Have Skills

Familiarity with Big Data tools (Spark, Hadoop).

Experience with cloud platforms (GCP, AWS, or Azure).

Exposure to NLP, Computer Vision, or Time Series forecasting.

Hands-on with collaborative notebooks (Jupyter, Databricks).

Knowledge in CI / CD practices and MLOps frameworks is a big plus.

Why Join Us?

High-impact projects that influence strategic decisions.

A collaborative and innovation-driven culture.

Access to rich and diverse datasets.

Continuous learning opportunities and attendance at tech / AI conferences.

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

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

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

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

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

• Continuously evaluate and refine models to optimize performance and reliability

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

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

• Drive experimentation and hypothesis testing with statistical rigor

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

• Optimize performance for scalability and real-time applications

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

• Conduct code reviews and mentor junior engineers

• Document system designs code and technical decisions for knowledge sharing

• Work in agile sprints and communicate progress with stakeholders

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

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

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

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

• Solid understanding of algorithms model evaluation and statistical principles

• Strong analytical thinking problem-solving and attention to detail

• Excellent communication and teamwork skills

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

• Experience in startup or high-growth tech environments

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

• Familiarity with MLOps and model monitoring frameworks

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

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

• A collaborative multicultural team that values growth and innovation

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

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

We are seeking a skilled data scientist to join our team in Dubai. The ideal candidate will have 4+ years of experience in Python , with a strong focus on development, modular architectures, and excellent English skills.

The role is focused on developing and expanding AI-powered tools to enhance the mobile coding ecosystem. As part of a cutting-edge team, you will contribute to building the next generation of coding assistance agents, leveraging AI to transform how developers interact with coding tools.

Main Responsibilities:

1. Design and implement scalable Python -based solutions to improve AI-powered development tools.
2. Develop software architectures while ensuring code quality, security, and stability.
3. Collaborate with cross-functional teams to integrate AI solutions and ensure seamless performance across platforms.
4. Maintain clean, readable, and efficient code, adhering to best practices for testing and security.

Requirements:

• 4+ years of experience as a Python Engineer with a strong focus on development.
• 2+ years of experience with Python frameworks in either Data Science or web development.
• Proven ability to work with modular architectures and focus on writing secure and testable code.
• Excellent command of Python 's syntax and conventions.
• Strong communication skills in English, both written and spoken.

We are seeking a talented and analytical Data Scientist to join our team, with a primary focus on optimizing revenue generation. The ideal candidate will use data-driven approaches to identify opportunities for revenue growth, develop predictive models, and provide actionable insights to drive revenue maximization strategies.

Key Responsibilities:

• Data Analysis: Analyze large datasets to identify trends, patterns, and insights related to revenue generation.
• Predictive Modeling: Build predictive models using statistical and machine learning techniques to forecast future trends or events based on historical data.
• Data Collection: Gather large datasets from various sources, including databases, APIs, and web scraping.
• Data Cleaning: Preprocess and clean the data to remove errors, inconsistencies, and missing values.
• Data Exploration: Explore and understand the data through statistical analysis, visualizations, and summary statistics.
• Machine Learning: Develop and implement machine learning models to make predictions or classifications based on the data.
• Feature Engineering: Select, transform, and create relevant features from the data to improve model performance.
• Model Evaluation: Assess the performance of machine learning models using metrics like accuracy, precision, recall, and F1-score.
• Model Deployment: Deploy machine learning models into production environments for real-time predictions.
• A/B Testing: Conduct experiments to test the impact of changes and optimizations in data-driven products or services.
• Data Visualization: Create meaningful visualizations and dashboards to communicate insights effectively to stakeholders.
• Communication: Explain complex technical findings to non-technical stakeholders and collaborate with cross-functional teams.
• Data Security and Privacy: Ensure data is handled securely and in compliance with data privacy regulations (e.g., GDPR).
• Continuous Learning: Stay up-to-date with the latest tools, techniques, and trends in data science and machine learning.
• Hypothesis Testing: Conduct hypothesis tests to validate findings and draw statistically significant conclusions.
• Data Storytelling: Craft narratives around data insights to influence decision-making within the organization.
• Big Data Technologies: Work with distributed computing frameworks like Hadoop and Spark for processing large-scale data.
• Database Management: Manage and query databases to extract, transform, and load (ETL) data.
• Domain Knowledge: Gain expertise in the specific domain or industry the organization operates in, which is often critical for effective data analysis.
• Ethical Considerations: Ensure that data analysis and modeling practices adhere to ethical standards and avoid bias or discrimination.

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

• Keep current with technology and industry developments.

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

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

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

• Gathering business requirement and converting to technical design
• Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Verifying data quality, and/or ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed
• Finding available datasets online that could be used for training Defining validation strategies
• Defining the pre-processing or feature engineering to be done on a given dataset
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them
• Coding and Deploying models to production
• Testing the performance of the models
• Working with integration team and source systems team for seamless integration of data from source system.
• Perform ETL data flow, source-target data mapping and creation of Data Mart, Data Model and staging area for data loading.

Job Specifications

• Bachelor s Degree in computer Science , IS, MIS, Statistics or related field or in business.
• Fresh graduate or 1 year hands on experience
• Ability to understand/translate customer business needs into data requirements and analytical techniques
• Support data acquisition, validation, cleaning/preparation, and management from incoming data sources to facilitate analysis. Fluency in SQL is required.
• Covering the areas of full Analytics life cycle, from data preparation to advanced analytics predictive modelling, AI and dynamic dashboards for data visualization and ML-Ops
• Have excellent English oral and written skills

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

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

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

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

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

• Continuously evaluate and refine models to optimize performance and reliability

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

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

• Drive experimentation and hypothesis testing with statistical rigor

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

• Optimize performance for scalability and real-time applications

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

• Conduct code reviews and mentor junior engineers

• Document system designs code and technical decisions for knowledge sharing

• Work in agile sprints and communicate progress with stakeholders

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

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

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

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

• Solid understanding of algorithms model evaluation and statistical principles

• Strong analytical thinking problem-solving and attention to detail

• Excellent communication and teamwork skills

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

• Experience in startup or high-growth tech environments

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

• Familiarity with MLOps and model monitoring frameworks

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

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

• A collaborative multicultural team that values growth and innovation

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

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