81 Data Science Manager jobs in Dubai

The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of AWS within our solution providers’ ecosystem/environment as well as directly to end customers. You will be able to drive discussions with senior technical and management personnel within customers and partners, as well as the technical background that enables them to interact with and give guidance to data/research/applied scientists and software developers. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical issues. Of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

• You will work directly with customers to drive adoption and shape the future of the most exciting emerging technology by understanding the business problem and guiding our customers in implementation of generative AI solutions, and developing long-term strategic relationships with key accounts.
• You will help develop the industry’s best generative AI delivery team by enabling and coaching your specialist team on best practices and how to create and present value-driven architectures of widely varying size and complexity. You will grow an existing team by hiring, on-boarding, training, and developing new Scientists, Architects, and Engineers from internal and external sources.
• You will identify opportunities for building reusable technical assets based on recurring patterns of customer needs.
• You will provide customer and market feedback to Product and Engineering teams to help define product direction.
• You will drive revenue growth across a broad set of customers.
• You will be a thought leader and drive value creation for our customers, shaping technical solutions, growing the team, and leading specific customer engagements.
• You will deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths to production.

GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Data Science Manager in GenAIIC, you’ll partner with technology and business teams to build new generative AI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer’s business and mission problems.

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

• Bachelor’s degree in computer science, mathematics/statistics, computer engineering or related technical discipline.
• Several years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience.
• Several years of technical management experience, including a minimum of 1 year in a technical management role in a customer-facing or consulting organization.
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
• Ability to demonstrate senior stakeholder management skills and collaborate effectively with multidisciplinary teams.

• Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems.
• Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer).
• PhD or Masters degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.
• Prior experience in training and fine-tuning of Large Language Models (LLMs).
• Deep expertise in generative AI and hands-on experience of deploying and hosting Large Foundational Models.
• Experience and deep knowledge of AWS and AWS AI/ML services.
• Experience as a pre-sales, customer-facing field development manager.

Company – Amazon Web Services EMEA Dubai FZ Branch – Q29
Job ID: A2658175

Principle Responsibilities & Key Results Area

• Identify innovation opportunities around data and datarelated processes that will help our clients implement factbased decisioning processes within their cards and payments program
• Work entails heavy focus on transaction data modelling and analytics for cards and payments products Work with a broader team that consists of Business Managers Consultants and Data Scientists from both Visa and client organizations to strategies cocreate deploy and reap the benefits of datadriven solutions.
• Work with regional and global Data Science teams to develop highquality analytic products and solutions that promote Visas growth in the region.
• Focus on creating scalable framework for Gen AI ML models
• Keep Visa at the forefront of technological advancement in Data Science by introducing cuttingedge tools and techniques for generating business insights
• Develop nextgeneration analytic methods where existing tools and techniques are inadequate to address business challenges
• Drive commercialization of existing scalable assets (models dashboards solutions).
• Collaborate with internal Technology partners and Data Engineering function to best leverage Visas internal technology platforms data and the broader Visa ecosystem to support our clients technical data needs
• Develop share and build global best practices and knowledge management within the team
• Socialize innovative ideas and approaches that are scalable and have market demand
• Champion internal requirements around Model Risk Management Visa Analytics Rules and Global Privacy standards around client delivery to ensure that Visas highly regarded market standing is maintained
• Work closely with Data Engineering DS teams and vendors communicate the business stakeholders needs and ensure the development team delivers within established acceptance criteria including expected quality and performance.
• Drive strong collaboration with VCA CEMEA Service Line Leads (Portfolio Management Digital Risk Merchant & Acquiring Commercial) understanding the market landscape and demand identification of potential opportunities for scalable solutions collecting business requirements and supporting in market enablement and GotoMarket.
• Work with Global Practice Leads to incorporate best practice source analytical or other services and leverage global consulting solutions.
• Deliver and manage a network of external Vendor or agency partners.

  Maintain excellent relationship with vendor team atlarge supervising deliveries as needed.

  Assist in selecting recruiting inducting and onboarding of vendors

  Work with other teams and external consultants to develop new and improved tools and techniques for future Consulting activities.

• Manage the project budget and resources to perform all required duties.
• Liaise with VISA functional teams Finance Audit Legal Tax Sourcing to define and implement processes to optimize the daily engagement of vendors and the relationships with clients.

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

Qualifications :

Key Competencies

• Minimum of 10 years of expertise in applying Machine Learning solutions to business problems model development and production experience required
• Experience of using GenAIto 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 working in one or more of the Card & Payments markets around the globe with specific responsibilities in payments retail banking or retail merchant industries
• Good understanding of Payments and the Banking industry including card verticals such as consumer credit consumer debit prepaid small business commercial and cobranded product
• Expert knowledge of data market intelligence business intelligence and AIdriven tools and technologies with demonstrated ability to incorporate new techniques to solve business problems
• Proven track record in commercializing analytical solutions.
• Experience planning organizing and managing multiple large projects with diverse crossfunctional teams including resource planning and delivery implementation Experience in presenting ideas and analysis to stakeholders whilst tailoring datadriven results to various audience levels
• Proven ability to deliver results within committed scope timeline and budget
• Very strong people/project management skills and experience

Technical Expertise

• Expertise in distributed computing environments / big data platforms (Hadoop Elasticsearch etc. as well as common database systems and value stores (SQL Hive HBase etc.
• Familiarity with both common computing environments (e.g. Linux Shell Scripting) and commonly used IDEs (Jupyter Notebooks).
• Strong programming ability in different programming languages such as Python R Scala and SQL
• Experience in drafting solution architecture frameworks that rely on APIs and microservices
• Proficient in some or all of the following techniques: Linear & Logistic Regression Decision Trees Random Forests KNearest Neighbors Markov Chain Monte Carlo Gibbs Sampling Evolutionary Algorithms (e.g. Genetic Algorithms Genetic Programming) Support Vector Machines Neural Networks etc.
• Expert knowledge of advanced data mining and statistical modeling techniques including Predictive modeling (e.g. binomial and multinomial regression ANOVA) Classification techniques (e.g. Clustering Principal Component Analysis factor analysis) Decision Tree techniques (e.g. CART CHAID)

Leadership Competencies

• Demonstrates integrity maturity and a constructive approach to business challenges
• Serves as a role model for the organization by implementing core Visa Values
• Strives for excellence and extraordinary results
• Uses sound insights and judgments to make informed decisions in line with business strategy and needs
• Able to allocate tasks and resources across multiple lines of businesses and geographies
• Able to influence senior management both within and outside Data Science
• Successfully persuading internal stakeholders to commit to bestinclass solutions when required
• Leverages change management leadership as required
• Fluency in English is mandatory.

Additional Information :

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Remote Work :

No

Employment Type :

Fulltime

Bachelor of Technology/Engineering, Bachelor of Science(Computers)

Nationality: Any Nationality

Vacancy: 1 Vacancy

Job Description

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.

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.

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.

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

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.

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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.
Job Description
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.
  

• 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.
  

• 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.

• Seniority levelMid-Senior level

• Employment typeFull-time

• Job functionInformation Technology
• IndustriesSoftware Development and IT Services and IT Consulting

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Direct message the job poster from Roads and Transport Authority

The Roads and Transport Authority (RTA) is looking for an experienced AI Project Manager to lead and deliver AI-driven initiatives that transform public services in Dubai. This role offers a unique opportunity to work at the forefront of smart city development, managing cutting-edge AI projects from concept to execution.

Key Responsibilities:

• Supervise the entire AI project portfolio: planning, implementation, and performance monitoring
• Lead budgeting, resource planning, and strategic alignment of AI initiatives with RTA's AI Roadmap
• Translate business needs into feasible AI projects, conduct cost-benefit analysis, and track KPIs
• Manage vendors and service providers, ensuring project delivery meets RTA standards
• Design and deploy interactive dashboards (Power BI, Qlik Sense, Microsoft Fabric) for real-time reporting
• Drive AI innovation, mentor team members, and support AI training & capability-building programs
• Ensure alignment with data governance, security, and UAE's national data regulations
• Collaborate across technical and business stakeholders, including IT, strategy, and external consultants

Qualifications & Skills:

• Bachelor's or Master's degree in Information Technology, AI, Data Science, or related field
• 14+ years of relevant experience in AI, project management, and data platforms
• Expertise in data lake, ETL pipelines, data warehousing, visualization tools, and machine learning
• Strong command of data privacy, security, enterprise architecture, and data governance frameworks
• Excellent leadership, planning, communication, and stakeholder management skills
• Proficiency in project management methodologies and business case evaluation

Be part of Dubai's transformation into a world-class smart city

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Supply Chain
• Industries Government Administration

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