Senior Data Scientist (Analytics)
Jakarta, Indonesia
Grab
Grab is Southeast Asia’s leading superapp. It provides everyday services like Deliveries, Mobility, Financial Services, and More.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
Get to Know the Team
At Grab, we're committed to enhancing the consumer experience across Southeast Asia. Our Consumer Experience Team focuses on spurring user growth, retention, and engagement through strategies backed by data insights. We're looking for a Senior Data Scientist (Analytics) to join our team at our office in Jakarta, Indonesia, driving improvements in user experience through product experimentation, A/B testing, and in-depth research.
Get to Know the Role
In this role, you will work closely with product managers to define hypotheses, design experiments, and deeply understand user needs, pain points, and business goals. You will act as a strategic partner throughout the product development lifecycle—offering analytical support from ideation to execution—and help prioritize features through data-driven insights. You will report to Senior Analytics Manager.
The Critical Tasks You Will Perform
- Design and run A/B tests and quasi-experiments to evaluate the impact of product changes on key metrics like engagement, retention, and conversion.
- Analyze experiment results and generate actionable insights to guide product improvements.
- Conduct deep-dive user behavior analyses using statistical techniques and machine learning to uncover trends and root causes.
- Translate complex data into clear, strategic recommendations for product enhancements.
- Build and maintain intuitive dashboards to track product and feature performance in real time.
- Visualize data effectively to highlight trends, anomalies, and opportunities, enabling data-driven decisions across teams.
Qualifications
What Essential Skills You Will Need
- We are looking for someone with at least 3 years of experience in the product analytics space.
- You have a Bachelor's Degree in Computer Science or Data related fields
- You are proficient in SQL, Python, and R for handling large datasets.
- You have experience creating dashboards using tools like PowerBI for informed decision-making.
- You have advanced knowledge in statistical methodologies and machine learning to uncover insights. You can also apply these techniques to large datasets.
- You have experience designing and implementing A/B tests and other experiment frameworks. You ca analyse results to derive actionable insights.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Computer Science Machine Learning Power BI Python R Research SQL Statistics Testing
Perks/benefits: Career development Medical leave Parental leave
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