Join Our Trailblazing Team: Lead Data Scientist (Analytics) - Mobility at Grab

Company Description
At Grab, we foster an environment where every team member, or Grabber, as we like to call them, thrives under the guiding principles of The Grab Way. Our mission is centered on creating economic empowerment across Southeast Asia, driven by our core values: Heart, Hunger, Honour, and Humility. Join us in transforming the region through relentless innovation and collective problem-solving.

Job Description

Meet the Mobility Analytics Team

The Mobility Analytics team at Grab is dedicated to reshaping the ride-hailing landscape in Southeast Asia. Using our expansive datasets, we tackle essential questions to enhance customer experiences and inaugurate substantial new offerings focused on affordability and premium service options. Our goal? To propel product and marketplace innovation through rigorous data analysis and creative experimentation, constantly launching and refining new solutions that delight our users. This is your chance to build a center of excellence for Product & Experimentation data alongside a diverse tech family.

Your Role and Responsibilities

As a Lead Data Scientist, you will:

• Work closely with cross-functional teams including Product, Business, Engineering, Design, and Data Science to understand and manage data requirements.
• Drive the identification and tracking of key performance metrics, influencing product directions with actionable data-driven insights.
• Engage with stakeholders to assess new business/product opportunities and deliver strategic recommendations.
• Refine your data storytelling capabilities to present insights through dashboards and visual representations, making complex data understandable for non-technical audiences.
• Design, launch, and analyze A/B tests, translating data into robust recommendations.
• Develop and maintain essential data pipelines to support accurate product reporting.
• Mentor emerging talent within the team, enhancing both technical and soft skills.
• Set high standards for measurement accuracy, analysis, and data integrity to guide organizational decision-making.

Day-to-Day Activities

Your daily activities will revolve around using your analytical prowess to identify new product opportunities, spotting trends, diagnosing anomalies, and iterating on solutions that address significant customer needs. It’s all about moving quickly but thoughtfully, with a keen eye for detail and a commitment to rigorous experimentation.

Qualifications

Must-Have Experience & Skills

• Over 6 years in data-focused roles, including Analytics and Applied Data Science.
• Proficiency in SQL, Python, R, or similar languages, with a background in handling large datasets.
• Exceptional data visualization and storytelling talents, with familiarity in tools like PowerBI.
• Experience with data pipeline technologies and data engineering practices.
• Strong communication and collaboration capabilities, able to convey complex ideas effectively.
• Self-motivated with an independent capability to learn and adapt.
• Ambitious and proactive demeanor, mirroring our 4Hs cultural philosophy.

Nice-to-Have Qualifications

• Experience in high-velocity data environments, preferably within direct-to-consumer or internet sectors.
• Background in Product Management or similar roles with direct business impact.
• Expertise in designing and interpreting controlled A/B experiments and familiarity with machine learning techniques.

Our Commitment

At Grab, we are committed to fostering an inclusive workplace. We recognize the diverse challenges our team members may face and are dedicated to creating an environment where all Grabbers can thrive. Join us on this exciting journey at Grab as we work towards elevating every user's experience in Southeast Asia.

We are excited to see how you can make a difference in our dynamic team. Apply now to become a part of our mission at Grab!