Staff AI & Automation Data Analyst

WHAT YOU BRING

• 7+ years of experience across data science, applied AI/ML, or advanced analytics, with a track record of Staff-level individual-contributor technical ownership.
• Bachelor's degree in statistics, computer science, math, or a related field (or equivalent practical experience).
• Strong Python skills for data science and automation — comfortable with libraries like pandas, scikit-learn, and building/calling ML models, not just scripting.
• Hands-on experience building with LLMs and AI agents — e.g. RAG pipelines, agent orchestration frameworks, prompt engineering, or tool-calling — and shipping something people actually use, not just experimenting.
• Strong SQL skills to support your own models and analysis, and enough data modeling fluency to work well with broader technical teams.
• In your application, tell us about something you built with LLMs in the last 6 months that people actually use — what it does, who uses it, and how often.
• High adaptability: comfortable dropping an approach that's no longer the best one, learning a new tool quickly, and adjusting plans as the AI landscape shifts, sometimes within the same quarter.
• Excellent communication skills — able to explain data science/AI concepts and trade-offs in a way that builds confidence with non-technical stakeholders and leadership.
• Strong ownership mindset: comfortable with ambiguity, prioritizing across competing asks, and driving projects independently.
• NICE TO HAVE
• Experience with agent orchestration frameworks (e.g. LangChain, LlamaIndex, or similar) or building multi-step autonomous agents.
• Experience with MLOps practices — model monitoring, versioning, or deployment pipelines.
• Exposure to data governance, semantic data modeling, or data classification concepts (e.g. knowledge graphs, metadata tagging).
• Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift) and orchestration tools.
• Practical experience applying statistical or ML techniques (forecasting, anomaly detection, classification, clustering) to business problems.
• #LI-ONSITE
• WHAT YOU CAN EXPECT FROM US:
• Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
• Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in TechnologyTM, Fortune's Best Workplaces in the Bay AreaTM, and certified as a Great Place to Work®!