Grab

Senior Data Scientist (Analytics)

Jakarta, id · Posted 3h ago

salary not listedseniorDept: Marketing
PythonRSQLSalesforceHubSpotLLMGenerative AI

Job Description

Get to Know the Team

We're looking for a Senior Data Scientist (Analytics) to join our dynamic Marketing and Growth team in Jakarta, Indonesia. 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.s

Get to Know the Role

We are looking for a Senior Growth Data Scientist specializing in CRM programs to join our dynamic team in Jakarta, Indonesia. In this role, you will do more than traditional analytics: you will combine advanced CRM analytics, machine learning, and experimentation with an AI-first mindset to build scalable, intelligent growth solutions. Beyond standard data workflows, you will identify opportunities to create AI-powered frameworks and self-serve tools—utilizing technologies such as Large Language Models (LLMs) and Generative AI—to scale growth strategies and optimize customer relationship management programs. Reporting to the Manager who is based in our Singapore Office.

The Critical Tasks You Will Perform

  • Develop and implement data-driven strategies to enhance customer acquisition, retention, and engagement.
  • Design and conduct A/B tests and experiments to improve CRM programs and marketing campaigns.
  • Build predictive models to forecast customer behavior and identify growth opportunities.
  • Analyze customer lifecycle data to obtain applicable insights and improve customer segmentation.
  • Drive plans and initiatives involving Large Language Models (LLMs) and Generative AI to automate workflows and enhance CRM personalization.
  • Develop automated, self-serve AI solutions and analytical frameworks that enable stakeholders to make faster, scalable business decisions.
  • Collaborate with Product, Marketing, and Engineering teams to translate complex analytical findings into clear, applicable recommendations.
  • Create dashboards and systemic reporting solutions to communicate main performance metrics and trends.

What Essential Skills You Will Need

  • Minimum Bachelor's Degree in Data Science, Statistics, Computer Science, or a related field.
  • 5+ years of experience in data science, with a strong focus on growth analytics, customer lifecycle analysis, and CRM strategies.
  • An AI-first mindset: a strong curiosity and willingness to experiment with new tools, automation, Generative AI, and LLMs to elevate analytics and decision-making.
  • Proficiency in statistical analysis, machine learning algorithms, and data visualization techniques.
  • Expert-level programming skills in Python, R, or SQL.
  • Familiarity with CRM software (e.g., Salesforce, HubSpot)
  • Proven track record in designing, executing, and analyzing A/B tests and growth experiments.
  • Experience or demonstrated capability in developing scalable, self-serve data products or AI-powered solutions for commercial or product environments.

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.