Senior Data Scientist, Market Insights
Get to Know the Team
The Regional Market Insights Team plays an important role in influencing Grab's strategic and operational decisions by offering insights on industry developments and competitive dynamics. We evaluate the landscape through diverse lenses and complement traditional market research and analysis with innovative techniques.
Get to Know the Role
Reporting to our Senior Market Insights Manager, you will lead the strategic market analysis initiatives, transforming complex data into actionable insights that drive business growth and inform critical organizational decisions. You will collaborate with cross-functional teams to uncover market opportunities, analyze competitive dynamics, and deliver compelling insights that shape our strategic direction for GrabMart business.
You will be base onsite in our Petaling Jaya office.
The Critical Tasks You Will Perform
- Develop and implement advanced statistical models and machine learning algorithms to analyze market trends, consumer behavior patterns, and competitive dynamics across multiple business segments
- Design and conduct comprehensive market research studies to identify latest opportunities, potential risks, and market gaps that inform strategic planning
- Create compelling data visualizations and executive-ready reports that communicate complex insights to stakeholders at all organizational levels
- Collaborate with cross-functional teams including product, strategy, and operations to translate business problems into data-driven solutions and recommendations
- Mentor and support junior data scientists, promoting a culture of innovation, continuous learning, and analytical excellence
- Develop predictive models and forecasting frameworks to anticipate market trends and consumer preferences, allowing proactive decision-making
- Optimize data collection processes and implement best practices for data management, quality assurance, and analytical workflows
- Stay current with advancements in data science techniques, tools, and methodologies, evaluating their applicability to enhance our market analysis capabilities
Qualifications
What Essential Skills You Will Need
- Bachelor's Degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field
- 5+ years of professional experience in data science, analytics, or a related field with demonstrated focus on market research and consumer behavior analysis
- Experience in developing predictive models and machine learning algorithms in production environments
- Proficient in statistical analysis, data mining techniques, and experimental design methodologies
- Advanced programming skills in Python, R, and SQL with demonstrated ability to write efficient, scalable code
- Experience incorporating AI (LLM) based workflows and an understanding of cost tradeoffs of LLM usage
- Proficiency in version control systems and collaborative development practices
- Hands-on experience with big data technologies and platforms such as Hadoop, Spark, or cloud-based data warehousing solutions
- Excellent communication and presentation skills with the ability to translate technical findings for non-technical audiences
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.
- Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For At Grab
We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.