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Intern - Data Science (Analytics) - Mobility

Grab

Grab

Data Science
Petaling Jaya, Selangor, Malaysia
Posted on Wednesday, May 8, 2024

Company Description

Life at Grab

At Grab, every Grabber is 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. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Job Description

(Intake period) Candidates should be available for this internship in July 2024

This opportunity is only for students who must be able to commit for at least 3 months or up to 6 months for an internship. (Please specify your internship durations on your resumes - fail to do so may affect your candidature)

Get to know the team

The Mobility Analytics team works closely with various teams in Grab - Business, Operations, Marketing but also Engineering, Product and other Data teams, to understand data requirements, identify and track key metrics, and provide data-driven solutions that are tailored and relevant to always-evolving innovation in our markets. Team is focussing on creating a more delightful and seamless booking journey, reducing friction and time spent on the platform for our pax, and crafting a future vision which incorporates the service ladder within the UX, helping users comprehend and find the most appropriate ride effortlessly

Get to know the role

We are looking for passionate interns to join the Mobility Analytics team to provide critical insights and drive our Mobility products forward. This requires working closely with various teams within Grab (Product, Engineering, Business, Operations, Marketing and others), pushing boundaries and thinking outside the box to drive break-through improvements.

Your role is to learn from our Mobility Analytics team and apply a data-first approach to product and business thinking, unveil data-driven insights, design controlled experiments and be objective while evaluating results, all of this while working with stakeholders to evaluate new and innovative product and business ideas. You will contribute to helping developers, designers & product managers 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

  • Learn as much as you can: Shadow our Senior Data Scientist (Analytics) to gain insights into their day-to-day and how Analytics drive the organization forward.

  • Product Analytics: Partner with the product, design, and engineering team to derive insights, design experiments, and drive key product decisions.

  • Strategic & Business Analytics: Support strategic initiatives with data analytics and insights, including but not limited to deep-dives into customer behavior, product efficacy, and other ad-hoc projects.

Your role, under the guidance of our Senior Data Scientists (Analytics), will be to

  • Collaborate with stakeholders to identify business requirements and outcomes.

  • Provide catered analysis for specific products and operations, define critical business metrics and track them rigorously, and provide regular recommendations to achieve continuous improvements

  • Define and align with stakeholders on key metrics, design and propose experimentation strategies.

  • Process and distill stakeholders requirements into concise insights through reports, presentations, and dashboards.

  • Develop data pipelines, customized data science models to solve identified problems.

  • Launch A/B tests, analyze experiment results and provide recommendations.

Qualifications

The Must-Haves

  • Good foundation in SQL, Python, R or other scripting/programming languages to problem-solve.

  • Good foundation data visualization and storytelling skills. Experience in creating dashboards using PowerBI or Tableau will be a plus.

  • Keen eye for spotting patterns and trends in data, able to hypothesize problem statements and propose appropriate solutions.

  • Strong statistical knowledge. Hands-on experience running and analyzing controlled experiments will be a plus.

  • Strong work ownership and ability to deliver on tight timelines and move quickly with cross-functional teams to partner or lead decision making while maintaining high attention to detail.

  • Self-starter, principled and driven to do the right thing.

  • Good communication and cross-functional collaboration experience.

Additional Information

Our Commitment

We recognize that with these individual attributes come different workplace challenges, and we will work with Grabbers to address them in our journey towards creating inclusion at Grab for all Grabbers.