Growth Data Science Director

The Growth Data Science Director will play a pivotal role in leading and accelerating growth strategies across multiple dimensions, including marketing optimization and efficiency, growth product initiatives (e.g., churn reduction), ecosystem plays, and ads revenue optimization for tmart and Quick commerce. This leader will drive business impact through the design, execution, and interpretation of experiments, empowering product, marketing, and operations teams to make data-informed decisions.

Responsibilities

• Responsible for defining and executing a comprehensive data strategy that aligns with the company's goals, leveraging data to drive business decisions and achieve strategic objectives.
• Lead cross-functional teams to design and implement innovative data-driven products and analytics insights, to deliver measurable impact on business outcomes.
• Develop and oversee frameworks for rigorous A/B testing, multi-armed bandit testing, and quasi-experimental designs.
• Establish best practices for hypothesis formulation, testing methodologies, and causality analysis to ensure valid and actionable insights.
• Drive adoption of experimentation as a core decision-making process across the company.
• Partner with cross-functional stakeholders to translate business challenges into well-defined analytical problems.
• Present clear, data-driven recommendations to senior leadership and executive teams.
• Demonstrate strategic leadership skills and an understanding of how data science can drive business success.
• Build strong partnerships across the organization, communicate effectively, and influence decision-making.
• Manage relationships with external partners, such as vendors or academic institutions.
• As a director, you will have responsibility for managing a larger team of data scientists, analysts, and engineers, as well as budgets and resources.

Qualifications

• A minimum of 8-10 years of professional experience in data science, including leadership roles in data science teams or consulting.
• A Ph.D. or Master's degree in a relevant field such as computer science, statistics, data science, or related disciplines.
• Proven experience in leading and managing managers and a demonstrated ability to foster a high-performance team culture.
• Must possess a deep and practical knowledge of data science, encompassing statistics, causality, experimentation, and causal inference, as well as knowledge in modeling.
• Proven ability to understand and navigate complex business landscapes, including familiarity with industry-specific challenges and opportunities.