Data Scientist, GTM Intelligence

Qualifications:

• Significant experience in applied Data Science, analytics engineering, machine learning, or a related quantitative role, including direct ownership of production decision systems.
• Advanced SQL and strong production Python experience.
• Demonstrated success taking a score, signal, recommendation, ranking model, or decision rule from prototype into monitored production use.
• Experience with feature engineering, pragmatic model selection, evaluation design, calibration or threshold setting, and ongoing system monitoring.
• Experience building or owning reliable data transformations, canonical datasets, scheduled workflows, and application-facing outputs.
• Strong stakeholder discovery and communication skills, including the ability to uncover the need behind a stated request and align technical and GTM stakeholders around requirements, methodology, ownership, and tradeoffs.

Preferred Qualifications:

• Experience with Databricks, Spark, dbt, Airflow or comparable orchestration, and modern cloud warehouses or lakehouses.
• Experience with B2B SaaS, usage-based products, CRM or Salesforce data, customer lifecycle systems, recommendations, or next-best-action products.
• Familiarity with model and feature versioning, scheduled scoring, monitoring, reproducibility, and safe rollout.
• Experience defining exposure, action, feedback, and outcome data for decision products, experimentation, or impact measurement.
• Familiarity with agentic systems and data interfaces designed for both human and machine consumption.