Grab

Lead Data Scientist (Analytics), Product Strategy

Job description

Job Description:
Product Strategy- Lead Data Scientist (Analytics) - G5
Meet the Analytics Team
Have you ever wanted to build customer-facing products that rely extensively on data insights and models? Have you ever been keen on building a recommender model to customize your Grab app (or any other consumer app) experience? If you answered yes to either of these questions .. then look no further!
The Analytics team mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate what’s best for our customers. As we ship multiple products every week, it means we have to fine-tune models, run and evaluate hundreds of experiments weekly! We are looking for experienced data scientists to build a center of data excellence for Product & Experimentation in a diverse range of tech families. Your role is to guide a data-first approach to product thinking, 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 help 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.
About the Role
In this role you will be working primarily on shaping product strategy covering a wide variety of horizontal projects which will have large scale impact across Grab and its ecosystem. You will be a key thought partner bringing insights, relevant quantitative & data based viewpoints , and drive the strategic discussions and alignments along with a keen focus on driving execution and moving things forward. You will be expected to able to work alongside Senior Product, Analytics and Tech leadership and represent analytics and its view point.
In terms of career pathways, this role is an Individual Contributor (IC) role.
Responsibilities
  • Lead complex analytics projects or workstreams covering multiple areas across the tech org
  • Problem-solve with the right balance of rigour, technical complexity and explainability, keeping in mind practical constraints of our real-world business and operations.
  • Define and align with stakeholders on key metrics, design and propose experimentation/execution strategies.
  • Identify frequently occurring hypotheses and problem statements that can be generalized 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.
  • Strongly able to influence and work with other leads across the various tech families in Grab.
What We Are Looking For:
  • 7+ years of experience working in data-related and/or quantitative fields, including but not limited to Analytics and Applied Data Science.
  • Strong with storytelling and able to drive data based narratives with Senior leadership.
  • Relevant industry experience (preferably in an Internet or ‘Direct to Consumer’ company with high velocity data and scaled controlled experiments) and/or prior experience with Product Management or business-facing operations will be a plus.
  • Strong statistical knowledge with hands on experience running and analyzing controlled experiments.
  • 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 and other visualization tools. Knowledge of Azure toolstack (Databricks, PowerBI, Azure Data Explorer) will be a plus.
  • Effective communicator, able to code-switch between technical and layman speak. Drive alignment, navigate ambiguity and negotiate tactfully.
  • 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 for an organization. Able to operate very independently with a high degree of ambiguity; a person who enjoys and learns from experimentation.
  • A culture role model of our 4Hs: Honour, Humility, Hunger and Heart.

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