Senior Data Scientist (Analytics) - Fulfilment

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

Grab's Fulfilment Team acts as a horizontal platform tech family with the goal of deepening fulfilment capabilities for all Grab businesses in a platform manner and providing them solutions which help connect our driver partners to Grab customers and create a highly reliable, cost efficient and faster transportation and logistics platform.

The Fulfilment Product Analytics Team advances product innovation with analytics and experimentation best practices. We ship a large number of features and that means tuning models, evaluating changes and running experiments to drive better outcomes for our driver partners and millions of customers across South East Asia. We are looking for an passionate data scientist to join our growing team.

Get to Know the Role 

You will report to the Product Analytics Manager II, Fulfilment and you will help product teams be more data-driven and objective, provide guidance for the design of controlled experiments and influence the direction of our product roadmap with data. You will work with product managers, engineers, designers, and business stakeholders across the company with recommendations on how to learn from unexpected results, study underlying causes for them and iterate on the next set of products to build for our users.

The Critical Tasks You Will Perform

• You will understand our requirements and outcomes to ensure data-driven decision-making.
• You will conduct tailored analysis 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, analyse the results, and provide recommendations based on your findings.

Qualifications

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 Tableau, PowerBI or other visualisation tools.

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.

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.