About the role
structured by ORI### Senior Data Scientist (Product Analytics) • Team Data Analytics • Location Petaling Jaya, Malaysia • Job Type Full-time The role at a glance Get to Know the Team The Fulfilment Tech Family is at the heart of helping Grab outserve our consumers and partners in different businesses and marketplaces across Southeast…
What you will do
- Transform requirements into concise data requirements, identify trends, spot anomalies, build insights through dashboards and presentations to create comprehensive views for decision-making.
- Develop data pipelines and custom data science models to solve identified problems.
- Create data-driven hypotheses and collaborate with product and engineering teams to design experiments that inform important product decisions.
- Launch A/B and timeslice experiments, analyse results, and provide relevant recommendations.
- Conduct targeted analysis for specific products and operations, to find new business/product opportunities, define critical business metrics, and track them rigorously.
What they are looking for
- You have 4 or more years in data-related or quantitative fields
- You are fluent in SQL, Python, R, or other scripting/programming languages. Your comfort with very large datasets and complex Extract, Transform, and Load processes sets you apart.
- Statistical knowledge: You have hands-on experience running and analysing controlled experiments, turning data into relevant insights.
- You can help narrow 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 have skills in designing experiments, data visualisation and storytelling. You can create intuitive and impactful dashboards using PowerBI or Tableau.
- You can guide teams to advise senior partners.
Benefits
- Term Life Insurance and comprehensive Medical Insurance
- GrabFlex benefits package
- Parental and Birthday leave
- Love-all-Serve-all (LASA) volunteering leave
- Confidential Grabber Assistance Programme
Full posting text
Senior Data Scientist (Product Analytics)
•
Team
Data Analytics
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Location
Petaling Jaya, Malaysia
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Job Type
Full-time
The role at a glance
Get to Know the Team
The Fulfilment Tech Family is at the heart of helping Grab outserve our consumers and partners in different businesses and marketplaces across Southeast Asia. Our mission is to offer the best marketplace platform capabilities, products and experiences to our driver partners as to increase adoption and engagement of our services. We improve driver partner opportunities and efficiency to fulfil consumer orders without fail, rain or shine.
Get to Know the Role
You will be within the Fulfilment tech family, responsible for platform's effectiveness and reliability through optimizations across supply planning, dispatch strategy, pricing, driver experiences and efficiency. The team extracts data and experiment insights that directly help improve our models & develop technical products and programs, setting new benchmarks for excellence.
Reporting to Senior Analytics Manager, you'll collaborate across departments (Product, Business, Engineering, Design, and Data Science) to transform data into dynamic solutions. Your insights will directly help develop groundbreaking products and programs, setting new benchmarks for excellence. This isn't just any role; it's a chance to affect millions of lives every day.
You will work onsite at our office in Petaling Jaya.
The Critical Tasks You Will Perform
- You will transform requirements into concise data requirements, identify trends, spot anomalies, build insights through dashboards and presentations to create comprehensive views for decision-making.
- You will develop data pipelines and custom data science models to solve identified problems.
- You will create data-driven hypotheses and collaborate with product and engineering teams to design experiments that inform important product decisions.
- You will design data specifications for new products, ensuring accurate data collection.
- You will launch A/B and timeslice experiments, analyse results, and provide relevant recommendations.
- You will conduct targeted analysis for specific products and operations, to find new business/product opportunities, define critical business metrics, and track them rigorously.
- You will work with partners to scope problems and enhance internal processes through automation.
- You will build existing AI tools and capabilities to enhance overall productivity for the Analytics function
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Skills you need
What Essential Skills You Will Need
- You have 4 or more years in data-related or quantitative fields
- You are fluent in SQL, Python, R, or other scripting/programming languages. Your comfort with very large datasets and complex Extract, Transform, and Load processes sets you apart.
- Statistical knowledge: You have hands-on experience running and analysing controlled experiments, turning data into relevant insights.
- You can help narrow 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 have skills in designing experiments, data visualisation and storytelling. You can create intuitive and impactful dashboards using PowerBI or Tableau.
- You can guide teams to advise senior partners.
Read more
What we offer
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.
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Life at Grab
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.
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What’s it like to work at Grab?
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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.
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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.
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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!
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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.