Senior Revenue Analyst
HopSkipDrive
PythonSQLTableau
Senior Data Scientist I
Raya
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteJob Level
Senior
Tech Stack
PythonPyTorchScikit-LearnSQLTableau
About the role
- Build and maintain dashboards and metrics, helping the team self-serve and monitor key performance indicators
- Dig into user behavior, search logs, and engagement data to uncover patterns and generate new hypotheses
- Help improve data organization and infrastructure, reducing ad hoc work and improving scalability
- Design and analyze A/B tests and other experiments to guide product decisions and measure impact
- Leverage off-the-shelf models and experimentation frameworks to optimize relevance and personalization features
- Apply and evaluate large language models (LLMs) for tasks such as semantic search, personalization, and user understanding, while developing expertise in LLM evaluation methodologies and best practices
- Collaborate with ML engineers and backend/infra teams to make incremental improvements to existing recommendations systems and embedding pipelines
- Contribute to a data-driven culture by clearly communicating findings and empowering stakeholders with reliable, accessible insights
Requirements
- 3+ years of experience in data science or analytics, ideally with exposure to product-focused teams
- Experience with recommendation and/or search ranking systems is a big plus
- Strong Python and SQL knowledge; ability to write clean, reproducible code and work with large-scale datasets
- Experience with modern data tools, including dbt and Snowflake/Databricks for data modeling and transformation; Mixpanel or Segment for product analytics and event tracking; and Looker, Omni, or Tableau for visualization and dashboarding
- Familiarity with common ML libraries (e.g. Scikit-learn, XGBoost); knowledge of deep learning frameworks like PyTorch is a bonus
- Experience applying and evaluating LLMs in practical, product-oriented settings (e.g., building or optimizing search, recommendations, or personalization tools)
- A strong analytical mindset with the ability to break down complex problems, design experiments, and generate actionable insights
- Comfortable collaborating cross-functionally with product, engineering, and design teams
