Data Scientist Lead

About Us

The Coca-Cola Company (TCCC)
is the world's largest beverage company, refreshing consumers worldwide for over 135 years. Our unrivaled portfolio includes more than 500 sparkling and still brands and more than 3,800 beverage choices, with iconic brands such as Coca-Cola, Sprite, Minute Maid, Schweppes, FuzeTea, Monster, and Fanta.

With over 1,500 employees, Coca-Cola Beverages Singapore, Malaysia & Brunei is a complex and well-developed organization that produces, sells, and distributes the Coca-Cola Company products across the country. Our world-class manufacturing plant in Halal Park, Bandar Enstek in Negeri Sembilan serves as our Halal production hub for Malaysia, Singapore, and Brunei.

Do You Thirst for Growth, Learning, and More?

At Coca-Cola Beverages Singapore, Malaysia & Brunei, we are committed to the well-being and professional growth of our employees. We believe that when our people thrive, so does our business. Join us on a journey of holistic wellness and personal growth. Together, let's create a culture where every individual can flourish and make a positive impact on the world. Welcome to Coca Cola SIMA, where you matter

As the Data Scientist Lead – Advanced Analytics & Recommendations,

In this role, you will lead digital product development, manage the analytics product lifecycle, and drive customer and commercial analysis. You'll collaborate across teams (Commercial, IT, Data & Analytics) to shape product roadmaps, integrate data for actionable insights, and develop AI/ML models that optimize business operations.

We are seeking an experienced and dynamic Analytics Product Manager with a strong foundation in Agile methodologies, data engineering, data science, and analytics to help drive our digital transformation. The ideal candidate will have prior experience in the FMCG/CPG industry and a deep understanding of algorithms, analytical modeling, APIs, and system integrations.

What you will be doing:

Lead Digital Product Development for analytics:

• Perform Customer & Commercial Analysis & Discovery to understand the customer and market trends and pain points including current level of adoption.
• Collaborate and align with the Commercial & IT team, Data & Analytics, external partners to produce a common and agreed-upon product roadmap that includes new features, CR's, and any product enhancements.
• Digital Product Roadmap (Demand Capture Pillar). End-to-end management of platform features & processes from ideation to delivery for an ongoing business at scale. Manage the product roadmap for commercial analytics, including prioritization of features, working with IT to detail user stories, and user testing.
• Strategizing the product roadmap for Digital Capabilities (Demand Generation Pillar). Including but not limited to sales & distribution analytics, Marketing Automation, Personalization, Recommendation, Coupons, Promotions, Segmentation, Google Analytics, Google Tag Manager etc.
• Understand advanced practices of digital marketing, emerging customer data tools, personalisation tactics and how these translate into customer acquisition, retention and loyalty.
• Defining the long-term vision for the products while driving the day-to-day activities.

Build Data Analysis & Models:

• Enabling Data Science Ecosystem in Commercial.
• Build and manage a robust data science framework for commercial operations, ensuring seamless data ingestion, transformation, and analysis.
• Develop RFM segmentation models to classify customers into actionable segments, leveraging recency, frequency, and monetary data.
• Integrate external and internal data sources to create advanced segmentation strategies, identifying new growth opportunities.
• Establish end-to-end data pipelines, ensuring scalability, reliability, and maintainability of analytics workflows.
• Develop and deploy recommendation engines for eB2B platforms to personalize product suggestions and optimize assortment.
• Create AI/ML-driven growth hacking models to predict demand, optimize pricing, and improve sales performance.
• Design algorithms for customer segmentation, market opportunity identification, and personalized campaign execution.
• Leverage Power BI and other visualization tools to build interactive dashboards and deliver actionable insights to business stakeholders.
• Enable predictive and prescriptive analytics to support critical decision-making, including demand forecasting, inventory planning, and churn prevention.
• Collaborate with business teams to integrate data solutions into day-to-day operations and track measurable results.

Key Projects and Deliverables

• Recommendation Engines:
  Develop AI-powered systems to optimize product recommendations and boost order conversions.
• AI/ML-Based Growth Hacking Models
  : Create machine learning models to identify untapped revenue streams, improve sales forecasting, and enhance operational efficiency.
• RFM Segmentation
  : Build advanced customer segmentation models using internal and external data for hyper-targeted campaigns and strategic decision-making.
• Power BI Dashboards
  : Design comprehensive dashboards to visualize KPIs, sales trends, and predictive insights for commercial teams.
• New trends in digital & analytics products around the globe which can be adapted in analytics products in our market.

Qualifications

You will need to have:

• Education:
  Minimum Bachelor's Degree in Data Science, Business Analytics or a related field
• Experience:
  More than 6 years of experience in Digital product management, data science & analytics development
• Industry experience in FMCG, E-Commerce or similar industry is an added advantage

Some of the competencies we are looking for:

• Digital product management
• Advanced analytics and modelling
• Data science expertise (Python, R, SQL, Big Query)
• Data visualization (Power BI, Tableau, Looker)
• E-commerce and digital analytics
• Performance marketing tools knowhow
• Integration expertise (Firebase, Google Analytics, APIs)
• Segmentation strategies (RFM and advanced segmentation models)
• Growth hacking and automation with AI/ML
• Cloud platforms and big data (AWS, Azure, GCP, Snowflake, Spark)
• Sales operations, RTM, and logistics processes knowledge
• Digital transformation leadership
• Business acumen

Our Purpose and Growth Culture

We are taking deliberate action to nurture an inclusive culture grounded in our company purpose, to refresh the world, and to make a difference.

We act with a growth mindset, take an expansive approach to what is possible, and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive, and agile - and value how we work as much as what we've achieved.

We believe that our culture is one of the reasons our company has continued to thrive for over 137 years. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national, origin, religion, sexual orientation, gender identity, and/or expression. When we collect your personal information as part of a job application or offer of employment, we do so by industry standards and best practices and in compliance with applicable privacy laws.