eCom Data Science Manager

Reckitt Benckiser; Dubai; On-site; AED 250,000 - 350,000; Full time

Job summary

A multinational consumer goods company in Dubai is seeking a data leader to drive insights and strategies within their eCommerce ecosystem. The role involves managing data teams, building machine-learning models, and collaborating with various stakeholders to unlock data-driven growth. Candidates should have a strong background in data science, leadership experience, and proficiency in tools like Python and Power BI.

Benefits

Parental benefits

Employee Assistance Program

Life insurance

Short-term incentives

Qualifications

• Minimum 6+ years of experience in data science, with 3+ years in leadership.
• Hands-on experience in building elasticity and price optimisation models.
• Exceptional collaboration and communication skills.

Responsibilities

• Deliver complex insight use cases through compelling visualisations.
• Analyse consumer sales patterns to optimise spend.
• Lead the development of eCommerce dashboards.

Skills

Ecommerce

Analysing sales and Ecommerce data

Education

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

Tools

Python

R

SQL

Power BI

Microsoft Excel

Azure

AWS

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. We are a global team united by this purpose.

Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.

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. Within Sales, we're focused on achieving outperformance across all of our channels, operating in highly competitive categories. This focus results in a dynamic, fast‑paced environment where cross‑functional teams are encouraged to collaborate to achieve success. We have around 10,000 sales people across the world, within market roles and ranging in areas like Field Sales, Key Accounts, Trade Marketing and Category Development.

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 behaviour, optimise digital marketing investments, and drive commercial outcomes. You will lead a team of analysts and developers, using the full suite of AI and analytics capabilities to solve real business problems with a strong focus on ROI.

This is an exciting opportunity for someone who is inquisitive, entrepreneurial, and passionate about using data to unlock growth in a fast‑moving, consumer‑centric industry.

Your responsibilities

• Deliver complex insight use cases through compelling visualisations and narratives, translating analytical findings into actionable business outcomes.
• Analyse consumer sales patterns and digital marketing performance to optimise spend and recommend data‑driven actions that improve ROI.
• Build and optimise 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 optimisation 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 optimisation 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, modelling, and automation.
• Expertise in data modelling, 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 visualisation best practices and storytelling through dashboards and reports.

The skills for success

Ecommerce, Analysing sales and Ecommerce data.

What we offer

With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short‑term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay‑for‑performance philosophy.

Equality

We recognise 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.