Senior Data Scientist (Analytics)

GrabTaxi Holdings Pte. Ltd.; Daerah Khusus Ibukota Jakarta; On-site; IDR 896,700,143 - 1,255,380,200; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex Benefits Package

Parental and Birthday Leave

Grabber Assistance Programme

Job summary

GrabTaxi Holdings Pte. Ltd. is looking for a Senior Data Scientist to work in their Financial Services Analytics team. This role involves using data to uncover actionable insights about user needs and behaviours, partnering with various teams to support product development. The ideal candidate has over 4 years in analytics, is proficient in SQL and Python, and has experience in data visualization.

Grab offers comprehensive global benefits, including medical insurance and flexible work arrangements, emphasizing employee well-being and professional growth.

Qualifications

• 4+ years of experience in Analytics, Business Intelligence, or Data Science.
• Advanced SQL querying skills and experience with large relational databases.
• Hands-on experience with data analysis and programming tools like Python.

Responsibilities

• Partner with product, design, and engineering teams to derive insights and drive product decisions.
• Support strategic plans with data insights, performing deep-dives into user behaviour.
• Design and recommend A/B tests and analyse clickstream data.

Skills

Analytics

SQL

Python

Data Visualization

Product Experimentation

Education

Bachelor's Degree in Statistics, Analytics, Economics, Mathematics, Engineering

Tools

PowerBI

D3.js

Job 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.

Get to Know the Team

Financial Services (FS) Analytics team supports the FinTech and Digibank product and business organisations, across Lending, Insurance, Save and Spend, Payment Acquiring, Funds Core and Growth Experiences Platform. As a Senior Data Scientist (Analytics), you'll be part of the Lending tech family where we strive to be the best FinTech and Digibank in the region. Our team is focused on understanding user experiences and partnering with Business, Product, Design, and Tech teams to achieve the right outcomes. We are integral to product development, from understanding user journeys with UX designers, to developing hypotheses, through to post-rollout optimisation.

Get to Know the Role

Your role involves using data to uncover actionable insights about user needs and behaviours, serving as the Voice of the Customer across Lending's suite of products. You'll apply analytics to help launch, refine, and expand product offerings while promoting a culture of data-driven decision-making. You'll work with Product Managers, Credit Risk Managers, UX Designers, Engineers, and other stakeholders to design informed analytical projects that advance the product roadmap. Reporting to the Analytics Manager for Financial Services, you'll work onsite at South Quarter office to drive FS strategies forward.

The Critical Tasks You Will Perform

• Partner with product, design, and engineering teams to derive insights, design experiments, and drive key product decisions.
• Support strategic plans with data insights, performing deep-dives into user behaviour, segmented views and product efficacy.
• Provide tailored analysis for specific products and strategies, define critical business and product metrics, and make regular recommendations for continuous improvements.
• Design, measure, and recommend A/B tests and multivariate experiments, including layout optimisation, UI/UX efficacy, algorithm effectiveness, and API performance.
• Analyse clickstream and transactional data to uncover insights on user behaviour and drive product metrics. You will manage instrumentation for all feature releases within assigned tech families within GFin.
• Develop self-serve solutions for stakeholders that are scalable and automated to handle a product environment. You will drive plans involving Large Language Models or Generative Artificial Intelligence.

What Essential Skills You Will Need

• You have at least 4+ years of experience in Analytics, Business Intelligence, or Data Science, in a Tech (FinTech or E-Commerce) company.
• You have a Bachelor's Degree in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields.
• You are proficient in writing advanced SQL queries and querying large relational databases.
• You have hands‑on experience with data analysis and programming tools such as Python.
• You are experience in data visualisation platforms like PowerBI or D3.js to present findings.
• You have experience designing, running, and analysing A/B tests and product experiments, with knowledge of hypothesis testing and the basic principles of Design of Experiments (DoE).

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 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.