Full-Time Data Analyst: Ranking Team

The Ranking Team builds and optimizes machine learning models. We're looking for a Data Analyst to evaluate and improve the performance of ranking models, features, and configurations across our large-scale experimentation program. Your work will help shape key metrics, interpret user behavior, and drive product and algorithm improvements.

• Analyze Ranking Performance: Evaluate A/B tests to quantify business impact and guide ML development.
• Understand Shopper Behavior: Investigate how ranking changes affect user behavior and conversion metrics.
• Design & Validate Metrics: Define new metrics to measure search relevance, personalization, and model performance.
• Build Analytics Infrastructure: Create scalable dashboards and reporting tools.
• Drive Data-Informed Decisions: Partner cross-functionally to design experiments and communicate insights.

• Advanced Analytics & A/B Testing: 3+ years analyzing complex experiments.
• SQL & Big Data Expertise: Write optimized SQL queries for terabyte-scale data. Proficiency with distributed systems like Spark.
• Python Programming: Strong skills in exploratory analysis and custom metrics development.
• Machine Learning & Search Systems: Understanding of ML pipelines and ranking/recommendation metrics.
• Metrics Design & Validation: Design metrics that accurately reflect model and product performance.
• Data Visualization: Create compelling dashboards using Tableau, Looker, or custom dashboards in Python.
• Cross-Functional Leadership: Influence product and engineering decisions through data storytelling.
• Product-Minded & Business-Focused: Deep curiosity about user behavior and business impact.

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