About the RoleOur Data & Analytics Platform team recently migrated from Redshift to Snowflake, enabled 100+ users, and centralized all business data in under three months. We are a lean team with a clear remit: ensure a single source of truth for all business data. With company-wide Snowflake adoption complete, we are hiring a Lead Data Scientist to expand our mandate to
Generative AI Analytics and Snorkel's highest-leverage data science problems.This is a senior individual contributor role with no direct reports; just ownership, autonomy, and impact from pioneering new insights and models and building our semantic layer, supply/demand matching algorithms, forecasting models, and other data science foundations that compound.
How you'll allocate your time (estimates subject to change):- 40%: Building and maintaining Generative AI Analytics
- 40%: Critical-path data science projects
- 20%: Partnering with Engineers, PMs, DaaS operational leads, and Finance
What You'll Do- Own Generative AI Analytics: Build and maintain end-to-end infra (semantic layer, LLM tooling, evals, and agents) to analytically empower every team at Snorkel.
- Protect Quality: Work with Engineering and the Fraud Operations Lead to build, unify inputs for, and deploy fraud detection and contributor quality models.
- Optimize Marketplace: Architect search, ranking, and recommendation models to match project needs for Expert Contributors across domains and geographies.
- Improve Forecasting: Build predictive models to help Strategy & Operations and Finance elevate forecast accuracy with signals from across the business.
- Identify Leverage: Surface the next high-value data science opportunities at Snorkel and build the case for their prioritization with the Head of Data.
- Advise Leadership: Be a trusted thought partner to the Head of Data and leaders of other teams on data architecture, applied data science, and AI.
Qualifications- 5+ years: data science or related experience, with a track record of shipping forecasting, ranking, recommendation, or similar models into production.
- Tech Stack: SQL, Snowflake or a similar data warehouse, and Python experience.
- Modern AI Tools: Experience deploying modern AI tools (semantic layers, LLMs, evaluation frameworks) reliably into production.
- Engineering Collaboration: Proven ability to partner with Engineering teams to bridge the gap from prototype to production system.
- Agency: Strong track record of impact without a large team or detailed roadmap.
- 0-to-1 Mindset: Comfortable building foundational systems from scratch in environments where data infrastructure is still maturing.
- Partnership: Genuinely values engaging technical and operational stakeholders to fully understand a problem and build data-driven solutions.
Bonus Points: Experience with Streamlit, Snowflake Cortex, AI/data labeling, A/B testing, and two-sided marketplace or data product business models.
Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Snorkel also includes benefits (including medical, dental, vision and 401(k)).
Pay Range $130,000-$200,000 
