About the Job:
The Growth Data Science Director will play a pivotal role in leading and accelerating growth strategies across multiple dimensions, including marketing optimization, 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.
- Data Science: Define and execute a comprehensive data strategy aligned with company goals, leveraging data to drive decisions and achieve strategic objectives.
- Experimentation & Causal Inference: Develop frameworks for rigorous A/B testing and quasi-experimental designs; drive adoption of experimentation as a core decision-making process.
- Analytics & Insights: Partner with stakeholders to translate business challenges into analytical problems; present clear, data-driven recommendations to leadership while ensuring statistical rigor.
- Strategic Leadership and Business Acumen: Demonstrate strategic leadership and articulate a vision, identifying emerging trends and technologies that can add value.
- Collaboration and Influence: Work collaboratively with stakeholders, influence decision-making, and manage relationships with external partners.
- Resource Management: Manage a team of data scientists, analysts, and engineers; make data-driven decisions about resource allocation and coach other managers.
- Strategic Hiring and Talent Development: Recruit top talent, create onboarding and training programs, and develop career paths for team members.
- Organizational Change Management: Manage effective organizational change, communicate rationale for change, and implement change management plans.
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Qualifications:
- Minimum of 8-10 years of professional experience in data science, including leadership roles.
- Ph.D. or Master's degree in a relevant field (computer science, statistics, data science, etc.).
- Proven experience in leading teams and fostering a high-performance culture.
- Deep knowledge of data science including statistics, causality, and experimentation.
- Familiarity with industry-specific challenges and opportunities, with a track record of quantifying business impacts.
Language Requirements:
English proficiency is required; additional language skills may be beneficial.
