About the Role
As the Director of Personalization Product Data Science, you will be at the forefront of driving data-driven decision-making to enhance our online shopping platform. This role involves leading a team of skilled data scientists, collaborating closely with product managers, engineers, and other cross-functional teams to develop and implement data science solutions that optimize product recommendations, personalization, and overall user experience.
What You'll Do
Key Responsibilities
Leadership and Strategy:
- Develop and execute a data science strategy aligned with business objectives to enhance the overall product discovery and recommendation experience.
- Lead and inspire a team of data scientists, setting a vision for innovation and excellence.
Product Analytics and Data Science:
- Drive customer behavioral insights and recommend new features for App and Web based on advanced statistical modeling and analysis
- Partner with UX, Product Management to instrument events and analyze and optimize e-commerce funnel
Experimentation, and Causal Inference:
- Design and analyze A/B tests to measure the impact of data science-driven features and recommendations on user behavior and business metrics.
- Create measurement frameworks and KPIs for entire e-commerce funnel
- Perform causal inference when A/B testing is not feasible
- Apply advanced statistical methods such as sequential testing, switchback, synthetic control
Cross-functional Collaboration:
- Work closely with product managers, UX designers, and other stakeholders to understand business goals and align data science initiatives with the product roadmap.
- Collaborate with marketing teams to integrate data-driven insights into promotional strategies.
Performance Monitoring and Optimization:
- Establish key performance indicators (KPIs) for product-related data science initiatives.
- Continuously monitor and optimize models based on user engagement, conversion rates, and other relevant metrics.
Communication and Reporting:
- Effectively communicate data science findings and insights to both technical and non-technical stakeholders.
- Provide regular updates to senior leadership on the performance and impact of e-commerce product data science initiatives.
Who You Are
- Advance degree in a quantitative field such as Computer Science, Statistics, or related disciplines.
- Proven experience in leading data science teams, with a focus on e-commerce or online retail.
- Strong expertise in machine learning, recommendation systems, and personalization algorithms.
- Proficient in programming languages such as Python or R.
- Excellent communication and collaboration skills with the ability to influence decision-making at the executive level.
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