6sense Senior Data Scientist, Forward-Deployed at 6sense to lead modeling efforts for customer sales and marketing data. Retrain, tune, and validate machine learning models to drive business value.
Responsibilities
We're hiring a Senior Data Scientist to be the team's lead modeler. You'll work hands-on with our strategic customers' data to tailor, retrain and validate the models that tell their sales and marketing teams which accounts and buyers to focus on.
You'll usually drive two or three customer engagements at once, each on real production data, and present the results in terms of business value. The best of your work becomes a standard capability for every 6sense customer.
Build for the customer
Get to know each customer's go-to-market and data, from CRM and marketing automation to firmographic and intent signals.
Retrain and tune account and contact models: ideal customer profile and industry definitions, keyword strategy, how CRM activity feeds the models, feature selection, and the balance of first- and third-party signals.
Prove impact with backtests against the live model and, where possible, the customer's own scoring, using opportunity conversion by score bucket.
Calibrate score thresholds and scaling so customers get a steady, explainable flow of qualified accounts.
Build customer-ready deliverables: review decks, explainability views, score files and documentation customers can verify.
Partner with the team's MLOps engineer to bring solutions into production so they keep delivering after handoff.
Productize for everyone
Capture what you learn as reusable patterns, and share recurring needs with Product, backed by field evidence.
What You'll Bring
Qualification
Fluent in Python and SQLExperience with large
Required
6-8 years building and deploying machine learning models in production
Strong foundation in machine learning and applied statistics
Experience with tree-based models such as XGBoost and Random Forest
