Sr. Data Scientist, Forward-Deployed

📋 Description

• Get to know each customer's go-to-market and data, from CRM and marketing automation to
• Retrain and tune account and contact models: ideal customer profile and industry definitions
• Prove impact with backtests against the live model and, where possible, the customer's own scoring
• Calibrate score thresholds and scaling so customers get a steady, explainable flow of qualified
• Build customer-ready deliverables: review decks, explainability views, score files and
• Partner with the team's MLOps engineer to bring solutions into production so they keep delivering

🎯 Requirements

• 6-8 years building and deploying machine learning models in production, ideally ranking
• Strong foundation in machine learning and applied statistics, including tree-based models such as
• Fluent in Python and SQL, with experience on large, messy, real-world datasets, including matching
• Experience working with or for customers on their data: consulting, client-site work, or a
• Comfortable switching between several ad hoc projects in a week rather than one long roadmap item.
• Able to explain technical work clearly to non-technical audiences.

🎁 Benefits

• Health coverage
• Paid parental leave
• Generous paid time-off and holidays
• Quarterly self-care days off
• Stock options
• 401K employer matching program