Senior Data Scientist (Analytics)

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

We're looking for a Senior Data Scientist (Analytics) to join our dynamic Marketing and Growth team in Singapore. In this role, you will be at the forefront of driving data-informed growth strategy and user engagement across our organization. You will partner closely with Marketing and Growth teams to define and implement regional strategies aimed at expanding our user base and enhancing user engagement. This position is based onsite in Singapore.

The Critical Tasks You Will Perform:

You will Innovate: Propose innovative business ideas by diving deep into user behavior data, addressing the most pressing customer challenges and identifying untapped growth opportunities. Evaluate the feasibility of new marketing initiatives and product concepts through rigorous data analysis, providing strategic recommendations based on market trends and consumer insights.

You will Illuminate: Analyze and interpret user behavior to generate actionable insights that support the development of strategic growth initiatives. Use your mastery of data to provide data-driven recommendations that guide marketing strategy, product innovation, and business decision-making. Create impactful data visualizations and dashboards that communicate insights effectively and drive informed decision-making across the organization.

You will Influence: Collaborate with Marketing, Growth, Product, and Business stakeholders to define key performance metrics, design experiments, and establish data requirements that shape the future of our marketing and growth strategy. Design and implement experimentation strategies, including A/B testing frameworks, to evaluate marketing hypotheses and growth initiatives with statistical rigor. Work closely with teams to ensure accurate data collection, governance, and scalable data infrastructure.

You will Drive Impact: Leverage advanced analytics and cutting-edge techniques to derive deep consumer insights that enhance user experience and contribute to our mission of excellence. Build and maintain scalable analytical frameworks and solutions to address recurring growth and marketing challenges efficiently and systematically.

Additional Responsibilities:

• Analyze large, complex datasets to identify user behavior trends, anomalies, and root causes, translating findings into clear, compelling narratives for both technical and non-technical stakeholders
• Develop data specifications for new marketing initiatives and features, working closely with engineering teams to implement scalable data infrastructure
• Collaborate with cross-functional teams to translate business requirements into analytical solutions that drive user acquisition, retention, and engagement
• Establish and maintain best practices in data handling and analytical rigor within your work and across collaborative projects

Qualifications

**Required Skills & Experience:**

• Minimum 4 years of professional experience in data analytics, applied data science, or related quantitative fields
• Advanced proficiency in SQL, Python, R, or similar programming languages for data manipulation and analysis
• Proven ability to tackle complex business problems and translate requirements into analytical solutions
• Expertise with large, complex datasets and distributed computing environments
• Strong understanding of statistical modeling, hypothesis testing, and experimental design
• Excellent communication skills with ability to influence cross-functional teams and senior stakeholders
• Experience with data governance, cloud-based analytics platforms, and data visualization tools
• Analytical, detail-oriented mindset with strong problem-solving abilities and collaborative approach

**Preferred Qualifications:**

• Background in marketing analytics or business intelligence within technology-driven organizations
• Hands-on experience with advanced AI tools, LLMs, or agentic AI systems

**Core Competencies:**

• Innovative thinking combined with pragmatic execution
• AI-first mindset with commitment to continuous learning

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.

What we stand for at Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.