Senior Data Scientist (Analytics) - Ads

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

Get to know the team

We focus on humanizing big data, bridging the technical and operational sides of the business, and using data to align product development with strategic goals. If you like a good challenge and love to find new ways of interpreting data then you’re a perfect fit.

The Demand & Ads Team supports Grab’s mission to “Drive economic growth by building a platform that helps people discover, engage, and connect with the best businesses in Southeast Asia.” by building best-in-class marketing offerings for businesses in SEA

The Product Analytics team advances product innovation with analytics and experimentation best practices. We help ship a large number of features every week and that means instrumentation to track relevant events, running experiments evaluating changes weekly.

Get to know the role

We are looking for a Senior Data Scientist (Analytics) - Ads with great analytical and communication skills to help product teams be more data-driven and objective and guide the design of controlled experiments. This person will have the ability to thrive in ambiguity, should have proven experience in analytics and in managing multiple stakeholders, and should have a passion for solving problems.

You will work with engineers, designers, and 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.

This role is required because of the rapid pace at which Grab is building a robust marketing ecosystem and we believe the only way to do this effectively is by making fast data-driven decisions. While being able to influence key product decisions with your analytical rigor, you will also get an opportunity to learn what it takes and experience first-hand building great products.

The Day-to-Day Activities

• Understand business objectives and deepdive into existing data to recommend new product ideas to solve for the most impactful customer problems
• Use data to identify trends, spot anomalies and delve deeper into their root causes
• Use your number-crunching and slide-maker skills to use and present data beyond just numbers. Hone your data storytelling skills through visualisation techniques by building dashboards and presenting insights to a non-technical audience!
• Discuss and align with stakeholders on key product metrics, design and propose experimentation strategies
• Launch A/B tests, analyze experiment results and provide recommendations
• Design and own frontend and backend data specs for new products, while collaborating with engineering teams to ensure accurate and timely data collection
• Develop and maintain data pipelines to fulfill product reporting requirements
• Mentor junior team members, supporting their professional development in both hard and soft skills
• Identify frequently occurring hypotheses and problem statements that can be generalised into common patterns. Develop scalable analytical frameworks and solutions to allow for solving repetitive problems in a more efficient manner
• Role-model high standards of rigour in how we do measurements, experimentation, analyses and recommendations. Safeguard the integrity of how data is used and understood to ensure we maintain objectivity in our reasoning, actions and decision making
• Evaluate the feasibility of developing new products, participate in user researches to validate customer problems
  
  

Qualifications

The Must-Haves

• At least 4+ years of experience working in data-related and/or quantitative fields, including but not limited to Analytics and Applied Data Science
• Fluent with SQL, Python, R or other scripting/programming languages to problem-solve. Experienced with working with very large datasets
• Strong data visualization and storytelling skills. Experience in creating dashboards using Tableau or other visualization tools. Knowledge of Azure toolstack (Databricks, PowerBI, Azure Data Explorer) will be a plus
• Effective communication and collaboration skills and the ability to present complex subjects coherently to diverse audiences comprising generalists and specialists
• Self-motivator and an ability to learn independently
• 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
• A culture role model of our 4Hs: Honour, Humility, Hunger and Heart
  
  

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.