Data Scientist (Analytics)

Get to Know the Team

The Fulfilment Tech Family is at the heart of helping Grab outserve our consumers and partners in different businesses and marketplaces across Southeast Asia. Our mission is to offer the best marketplace platform capabilities products and experiences to our driver partners as to increase adoption and engagement of our services. We improve driver partner opportunities and efficiency to fulfil consumer orders without fail rain or shine.

Get to Know the Role

You will be within the Fulfilment tech family responsible for platforms effectiveness and reliability through optimizations across supply planning dispatch strategy pricing driver experiences and efficiency. The team extracts data and experiment insights that directly help improve our models & develop technical products and programs setting new benchmarks for excellence.

Reporting to Senior Analytics Manager youll collaborate across departments (Product Business Engineering Design and Data Science) to transform data into dynamic solutions. Your insights will directly help develop groundbreaking products and programs setting new benchmarks for excellence. This isnt just any role; its a chance to affect millions of lives every day.

You will work onsite at our office in Petaling Jaya.

The Critical Tasks You Will Perform

• You will transform requirements into concise data requirements identify trends spot anomalies build insights through dashboards and presentations to create comprehensive views for decision-making.
• You will develop data pipelines and custom data science models to solve identified problems.
• You will create data-driven hypotheses and collaborate with product and engineering teams to design experiments that inform important product decisions.
• You will design data specifications for new products ensuring accurate data collection.
• You will launch A/B and timeslice experiments analyse results and provide relevant recommendations.
• You will conduct targeted analysis for specific products and operations to find new business/product opportunities define critical business metrics and track them rigorously.
• You will work with partners to scope problems and enhance internal processes through automation.
• You will build existing AI tools and capabilities to enhance overall productivity for the Analytics function

Qualifications :

What Essential Skills You Will Need

• You have 2 or more years in data-related or quantitative fields
• You are fluent in SQL Python R or other scripting/programming languages. Your comfort with very large datasets and complex Extract Transform and Load processes sets you apart.
• Statistical knowledge: You have hands-on experience running and analysing controlled experiments turning data into relevant insights.
• You can help narrow down multiple options into the best approach and take ownership of open-ended ambiguous business problems. Propose novel solutions that go beyond common practice
• You have skills in designing experiments data visualisation and storytelling. You can create intuitive and impactful dashboards using PowerBI or Tableau.
• You can guide teams to advise senior partners.

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 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 :

Full-time