About the role
structured by ORILead Data Scientist (Analytics), Financial Systems Team Data Analytics Location Petaling Jaya, Malaysia Job Type Full-time The role at a glance The RoleAs our Lead Specialist for Data Scientist (Analytics), you will be the strategic voice behind our product development, turning complex data into relevant experiments…
What you will do
- Partner with product, design, and engineering teams to obtain insights, design experiments, and lead important product decisions.
- Support strategic plans with data insights, performing deep-dives into user behavior, 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 guide product metrics, and manage instrumentation for feature releases.
What they are looking for
- Bachelor's Degree in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields.
- Minimum 5 years of experience in Analytics, Business Intelligence, or Data Science, preferably in a Bank or Tech (FinTech or E-Commerce) company.
- Proficient in writing advanced SQL queries, Python and querying large relational databases.
- Skilled in data visualisation platforms like Tableau or HTML to present findings.
- Experience translating data insights into relevant recommendations for non-technical and senior team members.
- Experience designing A/B tests and product experiments, with knowledge of hypothesis testing and the basic principles of Design of Experiments (DoE).
Nice to have
- Experience in a Bank or Tech (FinTech or E-Commerce) company
Benefits
- Term Life Insurance and comprehensive Medical Insurance
- GrabFlex customizable benefits package
- Parental and Birthday leave
- Love-all-Serve-all (LASA) volunteering leave
- Grabber Assistance Programme
Full posting text
Lead Data Scientist (Analytics), Financial Systems Team Data Analytics Location Petaling Jaya, Malaysia Job Type Full-time The role at a glance The RoleAs our Lead Specialist for Data Scientist (Analytics), you will be the strategic voice behind our product development, turning complex data into relevant experiments that shape the bank's future. This isn't just an analytics role; it's an opportunity to lead the data lifecycle, pioneer Generative AI programs, and directly influence how we build products at GXBank. What You'll Do:Partner with product, design, and engineering teams to obtain insights, design experiments, and lead important product decisions.Support strategic plans with data insights, performing deep-dives into user behavior, 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 guide product metrics. You will manage instrumentation for all feature releases within assigned tech families within the bank.Develop self-serve solutions for partners that are scalable and automated to handle a product environment.Guide plans involving Large Language Models or Generative Artificial Intelligence Read more Skills you need Who We Are Looking For:Bachelor's Degree in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields.Minimum 5 years of experience in Analytics, Business Intelligence, or Data Science, preferably in a Bank or Tech (FinTech or E-Commerce) company.Proficient in writing advanced SQL queries, Python and querying large relational databases.Skilled in data visualisation platforms like Tableau or HTML to present findings.Experience translating data insights into relevant recommendations for non-technical and senior team members.Experience designing A/B tests and product experiments, with knowledge of hypothesis testing and the basic principles of Design of Experiments (DoE). Read more What we offer About Grab and Our WorkplaceGrab 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. You will report to Senior Analytics Manager, Payments and will work on site from our office in Petaling Jaya. Read more Life at Grab Life at GrabWe 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 leaveWe 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 GrabWe 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. Read more What’s it like to work at Grab? Play video View our location For over a decade, Grab has seamlessly connected Malaysian people to a range of services—food, groceries, rides, and more. Take a tour and get to know this one-stop destination for making life more convenient for the local community. [Click to enlarge image] [Click to enlarge image] [Click to enlarge image] [Click to enlarge image] [Click to enlarge image] Meet the Data Analytics team Our Data Analysts harness the power of analytical thinking and sprinkle data-driven insights across every area of Grab’s business. But we don’t just crunch data all day, we collaborate with teams across the company, and love tackling the tricky problems they bring our way. Aside from being platform builders, we do tonnes of detective work to uncover key insights from our data. We’ll continue to experiment and improve the experience so that more users can benefit from our services across Grab. “ ” Want to leave your mark through data-driven product thinking? I know I do, and that’s what drives me to work all day every day! And, what’s even better is working with some of the most intellectual, driven, kind and authentic people I know who are my Grab friends forever! “ ” The Application Process What can you expect when you apply for a role at Grab? Here’s what our hiring process looks like. Step 1: Apply. We have a range of open roles from Marketing to Engineering and everything in between. Find the one that’s best for you and show us why you’re our next teammate. Step 2: Getting to know you. Next, you’ll have a video or phone interview with one of our recruiters to chat about you, the role, and your past work experiences. Step 3: Testing, testing… 123. Some roles might require assessments and/or a technical competency interview. For other roles, there might be an additional interview – speak with your recruiter for application details. Step 4: Is it a culture match? Finally, we’ll find out how we fit together, if your career vision aligns with our mission, how you embody the 4 H's, and your working style and personality.