Data Scientist (Analytics)

Singapore, Singapore

Applications have closed

Grab

Grab is Southeast Asia’s leading superapp. It provides everyday services like Deliveries, Mobility, Financial Services, and More.

View company page

Company Description

About Grab and our workplace

Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

Guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles—the 4Hs: Heart, Hunger, Honour and Humility—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Job Description

Get to know the Team:

The Communications product team acts as a horizontal platform tech family to enable Grab, driver and merchant partners and consumers to seamlessly communicate with each other.

We handle communication between drivers, consumers and merchants to ensure orders and bookings are completed successfully. We also work on internal tools for marketing and operation teams to shape partner and consumer behaviors through providing relevant information in the most optimal way.

The Communications Platform Product Analytics team advances product innovation with analytics and experimentation best practices. We ship a large number of features and that means tuning models, evaluating changes and running experiments to drive better outcomes for our driver partners and millions of customers across South East Asia.  We are looking for a passionate senior data scientist to join our growing team.

Get to know the Role:

Your role is to help product teams be more data-driven and objective, provide guidance for the design of controlled experiments and influence the direction of our product roadmap with data. You will work with product managers, engineers, designers, and business stakeholders across the company with recommendations on how to learn from unexpected results, study underlying causes for them and iterate on the next set of products to build for our users.

The Day-to-Day Activities:

  • Be an industry subject matter expert in using data to measure and analyze business/product performance in each of our markets and lines of business.

  • Lead the exploration of business/product issues/opportunities, uncover insights and/or identify targeted areas for growth.

  • Partner closely with the broader product and engineering team to design and analyze experiments that drive key product decisions.

  • Localize, tune in-production models to new cities / markets to enable product velocity.

  • Lead expert teams to rollout effective products/services and to expand Grab’s universe of data for building richer insights.

  • Provide thought leadership and generate data-driven hypotheses to solve key Product/Business problems.

  • Develop mixed effect, causal inference models to understand interaction effects or product configurations that are working sub optimally.

  • Build and manage anomaly detection systems to intelligently alert about slow-moving changes or sudden anomalies in product or system metrics.

  • Develop analytics tools to help data teams and other disciplines be more effective at debugging, data summarization and at analysis of results.

Qualifications

The Must-Haves:

  • You have a bachelor’s/master’s degree, preferably in Analytics, Statistics, Software, Mathematics, Economics, Computer Science or Engineering.
  • You are proficient in SQL, Presto, ETL, Power BI, Tableau, Python, and Excel
  • You have good analytical skills with the ability to collect, organise, and analyse significant amount of information with attention to detail and accuracy
  • You have sound knowledge on data models, data mining and segmentation techniques
  • You are self-motivated and independent learner who can manage time efficiently in fast-paced and dynamic working environment
  • You have a proven track record on crafting analytics

Additional Information

Benefits at Grab:

We care deeply about your well-being and are committed to supporting you every step of the way. Here are some of the global benefits we offer:

  • Protect and provide for your loved ones with peace of mind, knowing we have your back with Term Life Insurance and comprehensive Medical Insurance.
  • Craft a benefits package that suits your unique needs and aspirations with GrabFlex, because we believe in empowering you to thrive.
  • Embrace the magic of new life and create lasting memories with your family through Maternity and Paternity Leave.
  • Life can be overwhelming, but you're never alone. Our confidential Grabber Assistance Programme is here to guide and uplift you and your loved ones through life's challenges.
  • Your well-being is our priority. Benefit from our holistic well-being initiatives through Wellbeing@Grab, including health programmes, informative webinars, and vibrant carnivals.
  • Achieve a harmonious work-life balance with our FlexWork arrangements, allowing you to adapt and thrive in your personal and professional life.

We’ve got many different benefits hyper localised in each country. Speak to your recruiter during your interview to find out more.

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. If you require accommodations to fully participate in the recruitment process, you are encouraged to include your request(s) when applying.

We deliver the greatest impact and ideas when we bring together diverse perspectives. It is what enables us to spread opportunities to Grabbers and our partners. It’s not a box-ticking exercise; it’s who we are.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Causal inference Computer Science Data Mining Economics Engineering ETL Excel Mathematics Power BI Python SQL Statistics Tableau

Perks/benefits: Career development Health care Medical leave Parental leave Team events

Region: Asia/Pacific
Country: Singapore
Job stats:  16  7  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.