Join our Funnel Personalization team and help shape the future of eCommerce by leveraging machine learning (ML) to create personalized buyer journeys. As a Data Scientist, you will analyze user behavior, optimize A/B tests, and provide strategic insights that drive personalization at scale. You will work closely with ML engineers, data engineers, and product leaders to enhance product recommendations, optimize conversion funnels, and ensure high data quality.
What You’ll Do:
- Conduct Experimental Analysis – Design and analyze A/B tests to evaluate the impact of personalization strategies.
- Leverage SQL & Python – Retrieve, clean, and analyze data to extract key insights and build data-driven recommendations.
- Data Visualization & Reporting – Create dashboards and reports to summarize findings for leadership and key stakeholders.
- Opportunity Sizing & Trend Analysis – Identify trends in buyer/seller behavior and assess opportunities for optimization.
- Collaborate on ML-Driven Personalization – Work alongside ML engineers to improve recommendation systems and buyer journey personalization.
- Strategic Decision Support – Provide insights to guide roadmap decisions, product enhancements, and feature development.
What You Bring:
✅ Must-Have Skills:
- Strong SQL expertise for querying and data manipulation.
- Experience with A/B testing methodologies and statistical analysis.
- Proficiency in Python for data analysis and visualization.
- Ability to create dashboards and visual reports to communicate insights effectively.
- Experience summarizing analytics for leadership and driving data-informed decisions.
✅ Nice-to-Have Skills:
- Understanding of machine learning concepts and their application in personalization.
- Experience working with data engineers to ensure data quality and pipeline efficiency.
Why Join Us?
- Impact at Scale – Influence millions of eCommerce users by enhancing personalization through data science.
- Work with ML Experts – Collaborate with industry leaders in machine learning and data analytics.
- Innovative Environment – Be part of a team that’s shaping the future of AI-driven commerce.
Ready to drive data-powered personalization? Apply now and help us redefine the online shopping experience!
- *This role is open for a limited time. Shortlisted applicants will be contacted by Tuesday, March 25th. Due to the high volume of applicants, we may be unable to reply to each applicant individually. If you have not received a response, please assume that you have not been selected for progression to the next stage of the hiring process.