eCom Data Science Manager

Reckitt; Dubai; On-site; AED 200,000 - 250,000; Full time

Job summary

A global health and nutrition company in Dubai seeks a Data Science Leader to transform data into strategic advantage across eCommerce. The ideal candidate will have over 6 years of data science experience, with proven leadership in managing data teams. Responsibilities include delivering insights, optimizing consumer engagement through data analysis, and developing machine learning models. This position offers a dynamic environment focusing on data-driven decision-making.

Qualifications

• Minimum 6+ years of experience in data science, with at least 3+ years in a leadership role.
• Hands-on experience in building and deploying elasticity and price optimization models.
• Advanced skills in Python, R, and SQL for data manipulation and automation.

Responsibilities

• Deliver complex insight use cases through compelling visualizations.
• Analyze consumer sales patterns and recommend data-driven actions.
• Manage and mentor a team of data analysts and BI developers.

Skills

Machine Learning

Data Analysis

Python

Data Visualization

Communication

Education

Bachelor’s or Master’s degree in Engineering, Computer Science, Technology

Tools

Power BI

SQL

Excel

Job description

We are Reckitt, home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world.

Sales

Our Sales teams help to deliver Reckitt's purpose by building shared success with our customers, making access to the highest quality hygiene, wellness, and nourishment possible in-stores and online.

About the role, we are a data-first organization, placing analytics at the heart of decision-making to empower business leaders with the insights they need to drive growth and performance. In this role, you will be part of a dynamic, cross-functional team focused on transforming data into strategic advantage across our eCommerce ecosystem.

Your leadership will be instrumental in embedding data and AI into everyday business processes, enabling smarter decisions and delivering measurable impact. You will collaborate closely with business leaders, data scientists, and engineers to ensure seamless integration across the data value chain—from data collection and modeling to analysis, reporting, and experimentation.

We position consumer data and insights at the core of our ways of working, and this role will be pivotal in shaping how we use data to understand consumer behavior, optimize digital marketing investments, and drive commercial outcomes.

Your responsibilities

• Deliver complex insight use cases through compelling visualizations and narratives, translating analytical findings into actionable business outcomes.
• Analyze consumer sales patterns and digital marketing performance to optimize spend and recommend data-driven actions that improve ROI.
• Build and optimize machine learning models using regression and gradient boosting techniques (e.g., XGBoost, LightGBM), with a strong grasp of explainable ML to interpret model drivers and parameter weights.
• Design and deploy elasticity and price optimization models to inform pricing and promotional strategies across digital channels.
• Create innovative AI use cases that solve business problems and deliver measurable impact.
• Design, implement, and manage experimental frameworks (e.g., A/B testing) to validate new ideas and guide continuous improvement.
• Lead the development and enhancement of eCommerce dashboards, ensuring they remain the central hub for decision-making across teams.
• Manage and mentor a team of data analysts and BI developers, ensuring clear task ownership, domain expertise, and timely delivery of high-quality insights.
• Develop and execute a BI and digital transformation strategy, integrating internal and external data sources to build a comprehensive market model and scalable insights channels.
• Champion a culture of data-driven decision-making, empowering teams with the tools, insights, and mindset needed to drive performance.

The experience we're looking for

• Bachelor’s or Master’s degree in Engineering, Computer Science, Technology, or related fields. An advanced degree is preferred.
• Minimum 6+ 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.
• Hands-on experience in building and deploying elasticity and price optimization models.
• Exceptional collaboration and communication skills, capable of guiding, influencing, and persuading a wide range of stakeholders.
• A strong sense of ownership and accountability, coupled with a commitment to delivering high-quality results.
• Proficient in the full data analysis lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, and presentation.
• Advanced skills in Python, R, and SQL for data manipulation, modeling, and automation.
• Expertise in data modeling, dimensional design, and working with complex data structures.
• Excellent understanding of machine learning concepts and algorithms, with experience leading AI strategy execution and overseeing model development and deployment.
• Expert in Microsoft Suite, with strong hands-on experience in Power BI and advanced proficiency in Excel.
• Familiarity with cloud-based data platforms (e.g., Azure, AWS, GCP) and version control tools (e.g., Git).
• Experience with data visualization best practices and storytelling through dashboards and reports.

We recognize that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.