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Sovereign’s Capital
Sovereign’s Capital

Senior Data Scientist (Analytics) - OmniCommerce



Data Science
Petaling Jaya, Selangor, Malaysia
Posted on Tuesday, May 21, 2024

Company Description

Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Job Description

Get to know the team

The OmniCommerce team is a close-knitted team with diverse backgrounds, sharing a common purpose - to build the best products to engage our customers online and offline. The team is bonded over the passion for building user-first products, driven by numbers and analytical thinking. The Analytics team’s mission is to use data and experimentation to drive product and business innovation. We focus on providing data-driven insights to deliver an impeccable and seamless experience for our consumers, merchants, and driver-partners.

Get to know the role

We are looking for a Senior Data Scientist (Analytics) to provide critical insights and drive our OmniCommerce product forward. This requires working closely with various teams within Grab (Product, Engineering, Business, Operations, Marketing and others), pushing boundaries and thinking outside the box to drive break-through improvements. You will be a key part of the OmniCommerce Analytics team and a thought partner to our stakeholders and regional leadership. As we are gearing up for growth, your role will involve working closely with regional and local team members to influence the overall strategic direction of the product.

Your role is to guide a data-first approach to product and business thinking, unveil data-driven insights, design controlled experiments and be objective while evaluating results, all of this while working with stakeholders to evaluate new and innovative product and business ideas. You will help developers, designers & product managers 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 Day-to-Day Activities

  • Product Analytics: Partner with the product, design, and engineering team to derive insights, design experiments, and drive key product decisions.
  • Strategic & Business Analytics: Support strategic initiatives with data analytics and insights, including but not limited to deep-dives into customer behavior, product efficacy, and other ad-hoc projects.

Your role will be to:

  • Collaborate with stakeholders to identify business requirements and outcomes.
  • Act as the analytics thought partner to the working group, ensuring data-driven decision-making is never compromised.
  • Provide catered analysis for specific products and operations, define critical business metrics and track them rigorously, and provide regular recommendations to achieve continuous improvements
  • Define and align with stakeholders on key metrics, design and propose experimentation strategies.
  • Frame business scenarios and propose features that might have great impact on critical business processes and/or decisions.
  • Process and distill stakeholders requirements into concise insights through reports, presentations, and dashboards.
  • Consolidate data from multiple sources to create integrated and scalable views that can be used to drive decision making.
  • Develop data pipelines, customized data science models to solve identified problems.
  • Launch A/B tests, analyze experiment results and provide recommendations.


The Must-Haves

  • 5+ years experience working in data-related and/or quantitative fields, preferably in B2C business, including but not limited to OmniCommerce, ECommerce, Retail Marketing Analytics, Banking, Loyalty Programs and more
  • Strong data visualization and storytelling skills. Experienced in creating dashboards using PowerBI or Tableau.
  • Fluent with SQL, Python, R or other scripting/programming languages to problem-solve.
  • Experienced with working with very large datasets and maintaining complex ETL
  • Strong statistical knowledge with hands-on experience running and analyzing controlled experiments.
  • Keen eye for spotting patterns and trends in data, able to hypothesize problem statements and propose appropriate solutions
  • Ability to move initiatives forward, proactively addressing blockers and ambiguity within the team - while considering technical and operational constraints
  • Be able to independently deliver on difficult analytical problems with limited guidance, and driven to do the right thing.
  • Ability to communicate and document solutions for the team and mid-senior level stakeholders, while building trust with key stakeholders

Additional Information

Our Commitment:

We recognize that with these individual attributes come different workplace challenges, and we will work with Grabbers to address them in our journey towards creating inclusion at Grab for all Grabbers.