Role Overview
The Personalization team, within the Machine Learning Chapter and Engineering Department, plays a central role in implementing algorithms that utilize personalization signals to optimize for business KPIs like revenue & conversions.
You will work closely with engineers and product managers to define success, uncover insights, and influence roadmap decisions through data. Your work will help shape innovative user experiences that drive business KPIs, interpret user behavior, and drive product and algorithm improvements.
Challenges you will tackle
- Understand Shopper Behavior: Investigate how product changes affect user behavior and conversion metrics. Use SQL, Python, and Spark to uncover usage patterns, anomalies, and opportunities for optimization.
- Design & Validate Metrics: Define new metrics to measure personalization, and model performance. Ensure metrics align with user experience and business goals through rigorous validation.
- Build Analytics Infrastructure: Create scalable dashboards and reporting tools for product, engineering, and leadership teams. Develop debugging tools to explain ranking decisions and identify performance issues.
- Drive Data-Informed Decisions: Partner cross-functionally to design experiments, validate hypotheses, and communicate insights that directly influence product roadmap and ML strategy.
Requirements
- 3+ years analyzing complex experiments and extracting actionable insights from large, noisy datasets. Experience with statistical testing and practical experiment design.
- Write optimized SQL queries for terabyte-scale data extraction and transformation. Proficiency with distributed systems like Spark for large-scale data processing.
- Strong skills in exploratory analysis and building internal tools. Experience with data science libraries and automation.
- Understanding of ML pipelines, training data quality, and ranking/recommendation metrics. Familiarity with search relevance and personalization concepts.
- Design metrics that accurately reflect model and product performance. Ensure alignment between technical metrics and business outcomes.
- Create compelling dashboards using Tableau, Looker, or custom dashboards in Python. Present complex findings clearly to both technical and executive audiences.
- Influence product and engineering decisions through data storytelling. Collaborate effectively across teams to drive ML and product improvements.
- Deep curiosity about user behavior and business impact. Connect algorithm changes to real-world customer outcomes.
Benefits
- Unlimited vacation time – we strongly encourage all of our employees take at least 3 weeks per year
- Fully remote team – choose where you live
- Work from home stipend! We want you to have the resources you need to set up your home office
- Apple laptops provided for new employees
- Training and development budget for every employee, refreshed each year
- Maternity & Paternity leave for qualified employees
- Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
- Stock options – offered in addition to the base salary
- Regular team offsites to connect and collaborate
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