Sr. Data Scientist, Forward-Deployed
Core
Lead modeler for strategic customers, tailoring and validating predictive models to identify high-value accounts and buyers for sales and marketing teams.
Role type
Senior IC machine-learning engineer (customer-facing)
Builds
Production account and contact scoring models (ranking, propensity, classification) for B2B customers
Domain
B2B SaaS, predictive analytics, account-based marketing (ABM)
Deliverable
production ML models
Required skills
Machine learning (tree-based models like XGBoost, Random Forest), applied statistics, Python, SQL, model evaluation and calibration, consulting with customers on their data, product mindset
Preferred skills
B2B go-to-market data (CRM, intent signals), lead/contact scoring, model explainability (SHAP), Spark/SingleStore/Hive on AWS, LLM-based tools
Responsibilities
Retrain and tune customer-specific models using real production data; prove impact via backtests and opportunity conversion analysis; calibrate score thresholds; build customer-ready deliverables (decks, documentation); partner with MLOps for production handoff; capture reusable patterns for the product
Seniority
Senior, hands-on IC
