Data Scientist
Core
Owns the analytics and intelligence layer spanning marketing performance, customer signals, and support to drive growth, retention, and revenue using AI and automated systems.
Role type
Senior data scientist (marketing, growth, and customer analytics)
Builds
Automated intelligence systems, multi-touch attribution models, churn/retention models, and automated reporting for marketing and support teams.
Domain
SaaS / PLG (Product-Led Growth) / Marketing Analytics / Customer Experience
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
SQL, Python, pandas, scikit-learn, A/B testing design, statistical rigor, causal inference, LLMs for analytics, ETL workflow design, dashboard automation
Preferred skills
Modern data stack (dbt, BigQuery, Snowflake), growth analytics, marketing mix modeling, NLP for unstructured data, PLG funnel analysis, support analytics
Technologies
dbt, BigQuery, Snowflake, Fivetran, Segment, Hex, Looker, Tableau, Mode, Google Analytics, Iterable, Salesforce, LLM APIs
Responsibilities
Design and analyze marketing experiments; build multi-touch attribution and marketing mix models; synthesize customer signals into automated intelligence; build churn and retention models; define customer segmentations; build Voice of the Customer foundation; detect product issues via support signals; optimize automation and deflection; build measurement foundation for support ROI; use LLMs to analyze unstructured data; create automated reporting.
Seniority
Senior, hands-on IC