Senior Growth Data Scientist
Senior Growth Data Scientist
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Job Description
Get to Know the Team
The Growth Data Science team at Grab plays a critical role in growing user acquisition engagement retention and reactivation across our ecosystem of servicesfrom ridehailing to food logistics and more. We blend data experimentation and use growth at scale. As a trusted advisor to marketing product and operations our team turns data into applicable insights that shape Grabs growth strategy across Southeast Asia.
Get to Know the Role
You will create growth insights and strategy by analyzing user behavior across services to uncover relevant insights for acquisition and retention strategies. It requires deepdiving into underperforming user segments to identify growth opportunities and collaborating with to shape datadriven growth plans. You will build analytical tools and reporting enhancing main growth metrics. It includes designing growth experiments and developing machine learning models to predict user behavior and building the lifecycle of these models. Additionally you will maintain data pipelines and optimizing data workflows to and scalability. You will report to the manager and work onsite in our Jakarta Office
The Critical Tasks You Will Perform
Drive Growth Insights & Strategy
- Analyze user behavior across Grabs services to uncover applicable insights that fuel acquisition retention and reactivation strategies
- Deepdive into underperforming user segments (e.g. churned dormant or lowfrequency users) to identify causes and growth opportunities
- Collaborate with partners across marketing CRM and product to shape datadriven growth plans and lifecycle interventions
- Conduct business case analysis and postmortems to evaluate the impact of strategic growth plans
- Build Analytical Tools & Reporting
- Define monitor and enhance user growth metrics
- Develop dashboards and selfserve reporting tools to empower with reliable insights
- Design scalable reporting frameworks that align with our needs and support performance tracking over time
- Experimentation & Forecasting
- Design growth experiments (e.g. A/B tests) interpret results and translate findings into applicable recommendations
- Develop machine learning models for growth use cases such as user retention prediction reactivation likelihood scoring and user volume forecasting
- Oversee the endtoend lifecycle of growth modelsfrom development and validation to production and performance monitoring
- Data Pipeline & Infrastructure
- Develop scalable data pipelines to support analytics modeling and reporting use cases
- Collaborate with data engineering and platform teams to ensure data quality consistency and reusability across systems
- Optimize data workflows and tooling to improve efficiency stability and scalability
Qualifications :
What Essential Skills You Will Need
- Bachelors or Masters Degree in Mathematics Operations Research Data Science Industrial / Systems Engineering or Computer Science with a specialisation in Machine Learning User Behaviour or Optimization techniques
- Minimum 3 years of relevant postdegree experience in n business analytics growth analytics or product analytics
- Proficient in SQL; experience with BI tools like Power BI or Tableau
- Really good to have:
- Experience working with Digital/Mobile Marketplaces with Customer lifecycle data geospatial and mobility data
- Familiarity with Python or R for deeper data analysis
Additional Information :
Life at Grab
We care about your wellbeing 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 LoveallServeall (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
- Balancing personal commitments and lifes 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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
