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Day 13
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Petaling Jaya, Malaysia
Live, first seen by us 13 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
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.
Design, measure, and recommend A/B tests and multivariate experiments, including layout optimisation, UI/UX efficacy, algorithm effectiveness, and API performance.
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.
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.
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.
Bachelor's Degree in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields.
Proficient in writing advanced SQL queries, Python and querying large relational databases.
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).
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.
Grab is Southeast Asia's leading superapp.
In the employer’s words · Read in context
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Day 13
Similar jobs usually come down between day 7 and day 55.
From 10,019 similar postings that came down. Coming down is not always a hire.
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Open jobs by the week we first saw them, last 12 weeks.
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- 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.
- 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.
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
The Role
As 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:
Who We Are Looking For:
Life at Grab
We care about your well-being at Grab, here are some of the global benefits we offer:
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.
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.
You will report to Senior Analytics Manager, Payments and will work on site from our office in Petaling Jaya.
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Petaling Jaya, Malaysia
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. You will report to Senior Analytics Manager, Payments and will work on site from our office in Petaling Jaya.
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