Senior Data Scientist, Forward-Deployed

This is a fully remote position, open to applicants in California.

📋 Description

• Act as the primary modeler for the Forward Deployed Engineering, Predictive track.

• Engage directly with strategic customer data to customize, retrain, and validate models.

• Manage two or three customer projects concurrently utilizing production data.

• Acquire knowledge about each customer's go-to-market strategies and data, including CRM, marketing automation, firmographic data, and intent signals.

• Retrain and fine-tune account and contact models, encompassing ideal customer profiles, industry definitions, keyword strategies, CRM activity inputs, feature selection, and the balance between first- and third-party signals.

• Demonstrate impact through backtesting against live models and, when feasible, utilizing customers' own scoring systems.

• Utilize opportunity conversion by score buckets to assess results.

• Adjust score thresholds and scaling to ensure a consistent, understandable flow of qualified accounts.

• Create customer-ready presentation decks, explainability views, score files, and verifiable documentation.

• Collaborate with the MLOps engineer to transition solutions into production after handoff.

• Document learnings as reusable patterns and communicate recurring needs to Product using field evidence.

• Deliver customized models for customer projects, design reusable solutions, and develop playbooks that expedite future engagements.

⛳️ Requirements

• 6–8 years of experience in building and deploying machine learning models in production environments.

• Proficient in ranking, propensity, classification, or scoring models applied to tabular or behavioral data.

• Solid understanding of machine learning principles and applied statistics.

• Familiarity with tree-based models such as XGBoost and Random Forest.

• Experience in model evaluation and calibration.

• Proficient in Python and SQL.

• Experience handling large, complex, real-world datasets.

• Experience in aligning customer CRM records with account data.

• Background working with or for customers on their data, including consulting, client-site work, or forward-deployed solutions, or customer-facing data roles.

• Capability to juggle multiple ad hoc projects within a week.

• Ability to clearly communicate technical concepts to non-technical audiences.

• A product-focused mindset aimed at creating reusable solutions.

• Preferred: Experience with B2B go-to-market data, lead or contact scoring models, model explainability methods (e.g., feature importance or SHAP), Spark, SingleStore or Hive on AWS, and LLM-based tools, agents, or evaluation methods.

🏝️ Benefits

• Comprehensive health insurance coverage.

• Life insurance benefits.

• Disability insurance.

• 401(k) employer matching program.

• Paid holidays.

• Self-care days.

• Paid time off (PTO).

• Paid parental leave.

• Stock options.

• Provision of equipment and support for remote work or office settings.

• Opportunities for learning and development.

• Access to LinkedIn Learning.

• Quarterly wellness education sessions.

• Wellness days.

• Events hosted by Employee Resource Groups (ERGs).