Senior Data Scientist (Analytics), Search and Personalisation

Senior Data Scientist (Analytics), Search and Personalisation

• Full-time

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.

Get to know the Team

The Product Analytics team advances product innovation with analytics and experimentation best practices. We help ship many features every week and that means instrumentation to track relevant events, running thousands of experiments evaluating changes weekly.

Get to know the role

We are looking for a Senior Data Scientist (Analytics) with great analytical skills to help product teams be more data-driven and objective and guide the design of controlled experiments. You will report into the Senior Analytics Manager, SPA (Search, Personalisation, Ads) and work onsite in Grab One North office.

You have experience in analytics, managing multiple stakeholders, and solving complex problems. You will work with engineers, designers, and product managers across the company with recommendations on how to learn from unexpected results, study underlying causes for them, and refine the next set of products to build for our users.

This role is required because of the rapid pace at which Grab is building a content ranking and search ecosystem, and we believe the only way to do this is by making fast data-driven decisions. While you can influence key product decisions with your analytical rigour, you will also get an opportunity to learn what it takes and experience first-hand building great products.

The Critical Tasks You Will Perform

• You will understand our requirements and outcomes to ensure data-driven decision-making.
• You will conduct tailored and proactive analysis for a host of products, algorithm, and operations.
• You will define critical business metrics, construct an analytics framework, design and implement A/B experiments, track data points 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.

What 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 solid statistical knowledge and hands-on experience running and analysing controlled experiments.
• You are proficient in creating dashboards using PowerBI or other visualisation tools.

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.

What We Stand For at Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.