Senior Data Scientist (Analytics), Consumer Experience

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

At Grab, we're committed to enhancing the consumer experience across Southeast Asia. Our Consumer Experience Team focuses on spurring user growth, retention, and engagement through strategies backed by data insights. We're looking for a Senior Data Scientist (Analytics) to join our team, driving improvements in user experience through product experimentation, A/B testing, and in-depth research.

Get to Know the Role

As the Senior Data Scientist (Analytics), Consumer Experience, you will report into the Product Analytics Manager II, Consumer Experience and work onsite in the Grab One North office. You will collaborate with product managers to define hypotheses and design experiments aimed at enhancing consumer experience. You will lead A/B testing frameworks and employ statistical methodologies to measure the impact of product changes on key metrics such as user engagement and conversion rates.

The Critical Tasks You Will Perform

• You will recommend new product ideas through deep data analysis to solve impactful customer problems.
• You will identify trends and anomalies in data, investigating their root causes. You will also ensure data integrity in measurements, experimentation, and recommendations.
• You will build and present data visualisations and insights to non-technical audiences.
• You will design and propose experimentation strategies with stakeholders. This includes designing data specs for new products and collaborate with engineering teams for accurate data collection.
• You will launch A/B tests, analyse results, and provide actionable recommendations.
• You will develop data pipelines for product reporting requirements and scalable frameworks to handle repetitive analytical problems.
• You will mentor junior team members for their professional development.

Qualifications

What Essential Skills You Will Need

• We are looking for someone with at least 3 years of experience in the product analytics space.
• You have a Bachelor's Degree in Computer Science or Data related fields
• You are proficient in SQL, Python, and R for handling large datasets.
• You have experience creating dashboards using tools like Tableau for informed decision-making.
• You have advanced knowledge in statistical methodologies and machine learning to uncover insights. You can also apply these techniques to large datasets.
• You have experience designing and implementing A/B tests and other experiment frameworks. You ca analyse results to derive actionable insights.

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.
• 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.