Senior Data Scientist (Analytics), Business Platform

Grab

  • Jakarta
  • Permanent
  • Full-time
  • 17 days ago
Company DescriptionAbout Grab and Our WorkplaceGrab 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 DescriptionGet to Know the TeamWe drive innovation and operational excellence by turning data into actionable strategies that elevate the end-to-end experience for consumers, driver-partners, and merchant-partners. From optimizing transaction flows and platform efficiency to enhancing reliability, we strive to make Grab the first choice, every time.Get to Know the RoleYou will report to the Product Analytics Manager, Business Platform and you'll have the unique opportunity to collaborate across disciplines (Product, Business, Engineering, Design, Data Science) to transform data into dynamic solutions. Your insights will directly contribute to developing groundbreaking products and initiatives, setting new benchmarks for excellence. This isn't just any role; it's a chance to make a tangible impact on millions of lives every day.The Critical Tasks You Will Perform
  • You will understand our requirements and outcomes to ensure data-driven decision-making.
  • You will conduct tailored analyses for specific products and operations, define critical business metrics, track them rigorously, and recommend continuous improvements.
  • You will frame business scenarios and propose features that impact critical business processes and decisions.
  • You will transform requirements into concise insights through reports, presentations, and dashboards, and consolidate data from multiple sources to create comprehensive views for decision-making.
  • You will develop data pipelines and custom data science models to solve identified problems.
  • You will launch A/B tests, analyze the results, and provide recommendations based on your findings.
  • You will be a pioneer in the adoption of Gen AI across functions, and leverage Gen AI to optimize product features, business operations, and internal productivity.
QualificationsWhat Essential Skills You Will Need
  • You have at least +4 years of experience in data-related or quantitative fields such as Analytics, Science, Statistics, or Mathematics.
  • You are fluent with SQL, Python, R or other scripting/programming languages.
  • You are experienced in handling large datasets and maintaining complex Extract, Transform and Load (ETL) processes.
  • You have strong business acumen and the ability to connect user behavior with product features. To do that, you need to be a structured problem solver.
  • You have solid statistical knowledge and hands-on experience running and analysing controlled experiments.
  • You are proficient in creating dashboards using Tableau, PowerBI or other visualisation tools.
Additional InformationLife at GrabWe 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 GrabWe 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.

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