Lead Data Scientist (Analytics), Mobility

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 Analytics team's mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate what's best for our customers. As we ship multiple products every week, it means we have to fine-tune models, run and evaluate hundreds of experiments weekly! We are looking for experienced data scientists to build a centre of data excellence for Product & Experimentation in a diverse range of tech families.

Get to Know the Role 

You will report to the Senior Analytics Manager, Mobility and work onsite in Grab One North Singapore office. You will work with different teams within a business line (Product, Business, Engineering, Design, and Data Science) to understand data requirements, identify and track key metrics, and provide data-driven insights. You will also work with stakeholders to evaluate the feasibility of new business/ product ideas and provide appropriate recommendations.

Your role is to guide a data-first approach to product thinking, design controlled experiments, and be objective while evaluating results, all of this while working with stakeholders to evaluate 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 Critical Tasks You Will Perform

• You will propose cutting-edge product ideas by diving deep into data, addressing the most pressing customer challenges.
• You will use your mastery of data to uncover trends, decode anomalies, and tell compelling stories that inspire action.
• You will collaborate with stakeholders to define key metrics and design experiments that shape the future of our products.
• You will drive improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.

What Essential Skills You Will Need

• You have at least 6 years in data-related or quantitative fields, with experience within D2C or B2C context such as Marketplaces, ECommerce, OmniCommerce, Retail Marketing Analytics etc.
• You can help solve complex problems, narrowing 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 are able influence across your team, cross-functional teams and senior stakeholders.
• You are an expert in data storytelling, and adept at creating intuitive and impactful dashboards using PowerBI or Tableau.
• You are fluent in SQL, Python, R, or other scripting/programming languages, and you are comfortable with large datasets and ETL processes.

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.
• Balancing personal commitments and life's 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 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.