20 Machine Learning Models jobs in Dubai

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

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A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

Log In Only registered users can open employer contacts.

We are seeking an experienced Senior Lead Data Scientist to join our team.

• Minimum 10+ years of overall experience with extensive experience in AI/ML or data science, with at least 2-3 years in a leadership role.
• Proven experience in banking or financial services is highly preferred.
• Hands-on with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and tools (Python, SQL, Spark).
• Experience with end-to-end model lifecycle management and MLOps.
• Proven leadership in managing high-performing AI/ML teams.
• Strong understanding of statistical modeling, machine learning, deep learning, and NLP.
• Experience deploying models in production (on-prem/cloud).
• Strategic thinking with strong stakeholder management and influencing capabilities.
• High level of ethics and regulatory awareness in deploying AI in banking.
• Excellent verbal and written communication skills.

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We are currently seeking a skilled professional for our data science team. Below are the key requirements and responsibilities of this role.

The Senior Data Scientist will be responsible for leading complex data projects, developing predictive models, and analyzing large datasets to drive business decisions.

• Advanced knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks)
• Knowledge of additional programming languages (Python, C, Java) is highly desirable
• Strong problem-solving and quantitative skills, with intellectual curiosity
• Proven leadership skills, with the ability to inspire others and create a followership
• Excellent communication skills, capable of conveying analytical and technical content clearly

1. Bachelor's degree in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics
2. 8-10 years of hands-on experience in mathematical modeling within a business environment
3. Proven experience working with large datasets and relational databases (SQL)
4. Strong knowledge of one or more data science or decision science domains
5. Ability to articulate analytic processes from start to finish

• Joining timeframe: within 2 weeks, maximum 1 month
• Remote Work: No
• Employment Type: Full-time

Principle Responsibilities & Key Results Area

1. Identify innovation opportunities related to data and data processes to help clients implement fact-based decisioning within their cards and payments programs.
2. Focus on transaction data modeling and analytics for cards and payments products, collaborating with Business Managers, Consultants, and Data Scientists from Visa and client organizations to co-create and deploy data-driven solutions.
3. Work with regional and global Data Science teams to develop high-quality analytic products that support Visa's growth.
4. Create scalable frameworks for Gen AI and ML models.
5. Introduce cutting-edge tools and techniques to keep Visa at the forefront of Data Science advancements.
6. Develop innovative analytic methods to address complex business challenges.
7. Drive the commercialization of scalable assets such as models, dashboards, and solutions.
8. Collaborate with Technology and Data Engineering teams to leverage Visa's platforms and broader ecosystem for client needs.
9. Share and build global best practices and knowledge within the team.
10. Promote innovative, scalable ideas with market demand.
11. Ensure compliance with Model Risk Management, Visa Analytics Rules, and Global Privacy standards to maintain Visa's market reputation.
12. Coordinate with Data Engineering and Data Science teams and vendors to meet business needs, ensuring quality and performance.
13. Engage with VCA CEMEA Service Line Leads to identify market opportunities, gather requirements, and support go-to-market strategies.
14. Work with Global Practice Leads to incorporate best practices and leverage global solutions.
15. Manage relationships with external vendors and agencies, supervise deliveries, and support recruitment and onboarding.
16. Develop new tools and techniques in collaboration with teams and consultants for future activities.
17. Oversee project budgets and resources.
18. Coordinate with internal teams like Finance, Audit, Legal, Tax, and Sourcing to optimize vendor and client engagement processes.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications :

1. Minimum of 10 years of experience applying Machine Learning solutions to business problems, with production experience in model development.
2. Experience using GenAI to solve business challenges.
3. Postgraduate degree (Masters or PhD) in a quantitative field such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering.
4. Experience in Card & Payments markets globally, especially in payments, retail banking, or retail merchant industries.
5. Strong understanding of Payments and Banking industry verticals.
6. Expertise in data, market intelligence, business intelligence, and AI tools, with the ability to incorporate new techniques.
7. Proven track record in commercializing analytical solutions.
8. Experience managing large projects with cross-functional teams, resource planning, and delivery.
9. Ability to present ideas and analyses effectively to diverse stakeholders.
10. Proven results delivery within scope, timeline, and budget.
11. Strong people and project management skills.

1. Expertise in distributed computing environments/big data platforms (Hadoop, Elasticsearch, etc.) and database systems (SQL, Hive, HBase, etc.).
2. Familiarity with Linux, Shell Scripting, and IDEs like Jupyter Notebooks.
3. Strong programming skills in Python, R, Scala, SQL.
4. Experience designing solution architectures with APIs and microservices.
5. Knowledge of techniques like Regression, Decision Trees, Neural Networks, and others listed.
6. Expertise in advanced data mining and statistical modeling techniques.

1. Integrity, maturity, and a constructive approach to challenges.
2. Role modeling Visa values.
3. Striving for excellence and results.
4. Sound judgment and decision-making aligned with business needs.
5. Resource allocation across multiple business lines and geographies.
6. Influencing senior management and stakeholders.
7. Change management leadership.
8. Fluency in English is mandatory.

Additional Information :

Visa is an EEO Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Visa also considers qualified applicants with criminal histories in accordance with EEOC guidelines and applicable laws.

Remote Work : No

Employment Type : Full-time

About the opportunity

Role Summary

As a Senior Manager leading the Growth Data Science unit, you will play a pivotal role in leading and accelerating growth strategies across multiple dimensions, including marketing optimization and efficiency, growth product initiatives (e.g., churn reduction), ecosystem plays (e.g., subscription models and rewards), and ads revenue optimization. This leadership position will require close collaboration with product teams, senior marketing and partner growth leadership, ultimately driving data-driven decision-making and achieving transformative business growth.

You will collaborate closely with business leaders, and a dynamic team of data scientists and engineers. Your leadership will ensure the seamless integration of the data value chain—from data collection and modeling to analysis, reporting, and experimentation—ultimately empowering Talabat to achieve operational excellence and unparalleled customer satisfaction.

What’s On Your Plate?

Responsibilities:

• Lead the strategic vision for harnessing data to refine and enhance logistics operations. This involves identifying key opportunities for process optimization, cost reduction, and service quality improvements, ensuring that data science initiatives are perfectly aligned with Talabat’s broader business goals.

• Champion the adoption of a data-driven culture within logistics operations, emphasizing the importance of basing decisions on rigorous data analysis and actionable insights. This includes promoting the use of advanced analytics and data science methodologies across all levels of logistics operations.

• Build and maintain strong collaborative relationships with key stakeholders across product, business, and engineering teams. Ensure that data science projects are integrated with and supportive of overall business strategies, fostering a cohesive approach to achieving Talabat’s objectives.

• Guide, mentor, and develop a highly skilled team of data scientists and data analysts. Set clear performance goals, facilitate professional development opportunities, and foster a supportive and innovative work environment that attracts top talent.

• Spearhead innovative data science projects, including the application of predictive analytics, machine learning models, and optimization algorithms. Focus on projects that have the potential to significantly impact logistics efficiency and customer satisfaction.

• Ensure the development and maintenance of a robust and scalable data infrastructure that supports advanced analytics and data science activities. This includes advocating for best practices in data governance, quality control, and compliance with relevant data protection regulations.

• Oversee the generation of insightful analytical reports and dashboards that track key performance indicators (KPIs) and provide strategic insights to both the logistics team and senior management. Ensure that these insights are actionable and contribute to informed decision-making processes.

• Serve as a key point of communication between the data science unit and both internal and external stakeholders. Translate complex data-driven insights into clear, understandable, and actionable recommendations for various audiences.

• Stay abreast of the latest trends and advancements in data science, logistics, and technology. Incorporate cutting-edge practices and tools into Talabat’s data science strategy to maintain a competitive edge and foster continuous improvement.

• Effectively manage resources and priorities to strike a balance between long-term strategic initiatives and immediate operational needs. Ensure that the data science team’s efforts are focused on projects with the highest potential for positive impact on Talabat’s operations.

• Design, implement, and manage experimental frameworks, such as A/B testing, to validate new ideas and measure their impact on logistics performance. Use these insights to guide continuous improvement efforts.

• Provide expert analytical support to cross-functional teams, assisting in the development of KPIs and goal-setting processes that align with Talabat’s strategic objectives.

• Lead by example to cultivate an environment of excellence and innovation within the data science team. Encourage creative thinking, continuous learning, and the exploration of new ideas to drive forward Talabat’s logistics operations.

What you need to be successful

What Did We Order?

Technical Expertise:

• Proficient in the full data analysis lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, and presentation.

• Advanced skills in data analysis tools and programming languages such as Python, R, and SQL.

• Demonstrated expertise in data modeling, dimensional design, and the ability to understand and manipulate complex data structures.

• Strong background in experiment design and statistical analysis, capable of conducting and analyzing A/B and multivariate tests.

• Knowledge of Big Data technologies, preferably with experience in BigQuery and the Google Cloud Platform.

• Experience in data engineering and pipeline development, e.g., through tools like Airflow, is highly regarded.

• Familiarity with classical machine learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM) is advantageous.

Qualifications:

• Bachelor's or Master's degree in Engineering, Computer Science, Technology, or related fields. An advanced degree is preferred.

• A minimum of 8+ years of experience in data science, with at least 3+ years in a leadership role managing data teams or operations.

• Proven leadership ability in managing diverse, high-performing teams and in developing and executing strategic plans to meet business objectives.

• Exceptional collaboration and communication skills, capable of guiding, influencing, and persuading a wide range of stakeholders.

• Demonstrated problem-solving skills with a growth mindset, able to tackle complex challenges and drive forward innovative solutions.

• A strong sense of ownership and accountability, coupled with a commitment to delivering high-quality results.

Who we are

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.

We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.

Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.

Role Summary

As a Senior Manager leading the Growth Data Science unit, you will play a pivotal role in leading and accelerating growth strategies across multiple dimensions, including marketing optimization and efficiency, growth product initiatives (e.g., churn reduction), ecosystem plays (e.g., subscription models and rewards), and ads revenue optimization. This leadership position will require close collaboration with product teams, senior marketing and partner growth leadership, ultimately driving data-driven decision-making and achieving transformative business growth.

You will collaborate closely with business leaders, and a dynamic team of data scientists and engineers. Your leadership will ensure the seamless integration of the data value chain—from data collection and modeling to analysis, reporting, and experimentation—ultimately empowering Talabat to achieve operational excellence and unparalleled customer satisfaction.

What’s On Your Plate?

Responsibilities:

• Lead the strategic vision for harnessing data to refine and enhance logistics operations. This involves identifying key opportunities for process optimization, cost reduction, and service quality improvements, ensuring that data science initiatives are perfectly aligned with Talabat’s broader business goals.

• Champion the adoption of a data-driven culture within logistics operations, emphasizing the importance of basing decisions on rigorous data analysis and actionable insights. This includes promoting the use of advanced analytics and data science methodologies across all levels of logistics operations.

• Build and maintain strong collaborative relationships with key stakeholders across product, business, and engineering teams. Ensure that data science projects are integrated with and supportive of overall business strategies, fostering a cohesive approach to achieving Talabat’s objectives.

• Guide, mentor, and develop a highly skilled team of data scientists and data analysts. Set clear performance goals, facilitate professional development opportunities, and foster a supportive and innovative work environment that attracts top talent.

• Spearhead innovative data science projects, including the application of predictive analytics, machine learning models, and optimization algorithms. Focus on projects that have the potential to significantly impact logistics efficiency and customer satisfaction.

• Ensure the development and maintenance of a robust and scalable data infrastructure that supports advanced analytics and data science activities. This includes advocating for best practices in data governance, quality control, and compliance with relevant data protection regulations.

• Oversee the generation of insightful analytical reports and dashboards that track key performance indicators (KPIs) and provide strategic insights to both the logistics team and senior management. Ensure that these insights are actionable and contribute to informed decision-making processes.

• Serve as a key point of communication between the data science unit and both internal and external stakeholders. Translate complex data-driven insights into clear, understandable, and actionable recommendations for various audiences.

• Stay abreast of the latest trends and advancements in data science, logistics, and technology. Incorporate cutting-edge practices and tools into Talabat’s data science strategy to maintain a competitive edge and foster continuous improvement.

• Effectively manage resources and priorities to strike a balance between long-term strategic initiatives and immediate operational needs. Ensure that the data science team’s efforts are focused on projects with the highest potential for positive impact on Talabat’s operations.

• Design, implement, and manage experimental frameworks, such as A/B testing, to validate new ideas and measure their impact on logistics performance. Use these insights to guide continuous improvement efforts.

• Provide expert analytical support to cross-functional teams, assisting in the development of KPIs and goal-setting processes that align with Talabat’s strategic objectives.

• Lead by example to cultivate an environment of excellence and innovation within the data science team. Encourage creative thinking, continuous learning, and the exploration of new ideas to drive forward Talabat’s logistics operations.

What Did We Order?

Technical Expertise:

• Proficient in the full data analysis lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, and presentation.

• Advanced skills in data analysis tools and programming languages such as Python, R, and SQL.

• Demonstrated expertise in data modeling, dimensional design, and the ability to understand and manipulate complex data structures.

• Strong background in experiment design and statistical analysis, capable of conducting and analyzing A/B and multivariate tests.

• Knowledge of Big Data technologies, preferably with experience in BigQuery and the Google Cloud Platform.

• Experience in data engineering and pipeline development, e.g., through tools like Airflow, is highly regarded.

• Familiarity with classical machine learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM) is advantageous.

Qualifications:

• Bachelor's or Master's degree in Engineering, Computer Science, Technology, or related fields. An advanced degree is preferred.

• A minimum of 8+ years of experience in data science, with at least 3+ years in a leadership role managing data teams or operations.

• Proven leadership ability in managing diverse, high-performing teams and in developing and executing strategic plans to meet business objectives.

• Exceptional collaboration and communication skills, capable of guiding, influencing, and persuading a wide range of stakeholders.

• Demonstrated problem-solving skills with a growth mindset, able to tackle complex challenges and drive forward innovative solutions.

• A strong sense of ownership and accountability, coupled with a commitment to delivering high-quality results.

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.

We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.

Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.

Principle Responsibilities & Key Results Area

• Identify innovation opportunities related to data and data processes to help clients implement fact-based decisioning within their cards and payments programs.
• Focus on transaction data modeling and analytics for cards and payments products, collaborating with Business Managers, Consultants, and Data Scientists from Visa and client organizations to co-create and deploy data-driven solutions.
• Work with regional and global Data Science teams to develop high-quality analytic products that support Visa's growth.
• Create scalable frameworks for Gen AI and ML models.
• Introduce cutting-edge tools and techniques to keep Visa at the forefront of Data Science advancements.
• Develop innovative analytic methods to address complex business challenges.
• Drive the commercialization of scalable assets such as models, dashboards, and solutions.
• Collaborate with Technology and Data Engineering teams to leverage Visa's platforms and broader ecosystem for client needs.
• Share and build global best practices and knowledge within the team.
• Promote innovative, scalable ideas with market demand.
• Ensure compliance with Model Risk Management, Visa Analytics Rules, and Global Privacy standards to maintain Visa's market reputation.
• Coordinate with Data Engineering and Data Science teams and vendors to meet business needs, ensuring quality and performance.
• Engage with VCA CEMEA Service Line Leads to identify market opportunities, gather requirements, and support go-to-market strategies.
• Work with Global Practice Leads to incorporate best practices and leverage global solutions.
• Manage relationships with external vendors and agencies, supervise deliveries, and support recruitment and onboarding.
• Develop new tools and techniques in collaboration with teams and consultants for future activities.
• Oversee project budgets and resources.
• Coordinate with internal teams like Finance, Audit, Legal, Tax, and Sourcing to optimize vendor and client engagement processes.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications :

• Minimum of 10 years of experience applying Machine Learning solutions to business problems, with production experience in model development.
• Experience using GenAI to solve business challenges.
• Postgraduate degree (Masters or PhD) in a quantitative field such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering.
• Experience in Card & Payments markets globally, especially in payments, retail banking, or retail merchant industries.
• Strong understanding of Payments and Banking industry verticals.
• Expertise in data, market intelligence, business intelligence, and AI tools, with the ability to incorporate new techniques.
• Proven track record in commercializing analytical solutions.
• Experience managing large projects with cross-functional teams, resource planning, and delivery.
• Ability to present ideas and analyses effectively to diverse stakeholders.
• Proven results delivery within scope, timeline, and budget.
• Strong people and project management skills.

• Expertise in distributed computing environments/big data platforms (Hadoop, Elasticsearch, etc.) and database systems (SQL, Hive, HBase, etc.).
• Familiarity with Linux, Shell Scripting, and IDEs like Jupyter Notebooks.
• Strong programming skills in Python, R, Scala, SQL.
• Experience designing solution architectures with APIs and microservices.
• Knowledge of techniques like Regression, Decision Trees, Neural Networks, and others listed.
• Expertise in advanced data mining and statistical modeling techniques.

• Integrity, maturity, and a constructive approach to challenges.
• Role modeling Visa values.
• Striving for excellence and results.
• Sound judgment and decision-making aligned with business needs.
• Resource allocation across multiple business lines and geographies.
• Influencing senior management and stakeholders.
• Change management leadership.
• Fluency in English is mandatory.

Additional Information :

Visa is an EEO Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Visa also considers qualified applicants with criminal histories in accordance with EEOC guidelines and applicable laws.

Remote Work : No

Employment Type : Full-time

Job Description:

Job Title: Data Analytics and Strategy Manager Carat

Work Location: Dubai, UAE

Job Level: Manager

Job Type: Full-time (Hybrid)

About Dentsu International:

Dentsu is one of the largest marketing and advertising groups, providing a full suite of creative, data, technology, and media services to clients across 145 countries.

We empower leading brands to create better customer experiences through digital and creative transformation. Our expertise spans creative excellence, customer engagement, media, enterprise marketing technology, and more, serving a diverse portfolio of Fortune 100 companies and iconic brands worldwide.

Learn more about us here: (Insert link if available)

Role:

The Data and Analytics Strategy Manager leads the agency's data strategy and analytics initiatives. The core responsibility is to develop and implement data-driven strategies to foster business growth and enhance decision-making processes across the organization.

Key Responsibilities:

• Build strong relationships and collaborate with operational, product, business performance, data science, and data visualization leads.
• Analyze and correlate data from various sources (research, sales, media metrics, etc.).
• Produce insights and develop viewpoints based on data outputs.
• Work with business leads to create data and analytics solutions (e.g., Google Analytics, Data Visualization).
• Report to the Performance Director to drive performance and business intelligence for clients.
• Develop and execute the overall data and analytics strategy aligned with company goals.
• Establish and enforce data governance policies ensuring data quality, consistency, and security.
• Lead a team of data analysts and data scientists to deliver actionable insights.
• Collaborate with stakeholders to understand data needs and deliver appropriate solutions.
• Design measurement frameworks based on goals and KPIs to evaluate data initiatives.
• Evaluate and adopt the latest data technologies and tools.
• Coordinate dashboard and report development with the data science team and other leaders.
• Stay updated on industry trends to improve data strategies and processes, collaborating with partners like Google, Meta, Tableau, Salesforce, etc.

Key Competencies:

• AI & Machine Learning: Design and deploy advanced analytics and ML models (e.g., fraud detection, recommender systems).
• Marketing & Customer Analytics: Campaign measurement, segmentation, churn prediction, customer LTV, media mix modeling, ROI optimization.
• Causal Inference & Statistical Modeling: Impact analysis and marketing event evaluation.

Leadership & Strategy:

• Team Leadership: Manage data scientists, data engineers, and BI analysts.
• Stakeholder Management: Engage with CXOs and business leaders.
• Program & Project Management: Lead end-to-end data science projects across industries and regions.

Tech Stack & Tools:

• Languages: Python, R, SQL, PySpark, Scala.
• ML Frameworks: TensorFlow, Keras, XGBoost, SVM, GBM.
• Platforms & Tools: AWS, GCP, Azure, Snowflake, Databricks, Tableau, SAS.

Industries Served:

Retail, Finance, CPG, Automotive, Technology (highly preferred).

What We Offer:

Financial Compensation:

• Competitive package, annual bonus, and return tickets to home country.

Health & Wellbeing:

• Flexible hybrid work, private healthcare, wellness days.

Company Culture & Perks:

• Diverse, collaborative environment, team socials, casual dress code.

Professional Development:

• Access to Dentsu University, internal mobility, regional exposure.

Diversity & Inclusion:

Dentsu is committed to equity and diversity, fostering an inclusive environment where everyone can bring their whole self to work.

Application Process:

Please apply online. If your profile matches, our recruiters will contact you. If not, your profile will be stored for future opportunities.

Location: Dubai

Brand: Dentsu

Time Type: Full-time

Contract Type: Permanent

Required Experience: Manager