Senior Data Scientist | Growth
Core
Lead analytical frameworks and strategic roadmaps for optimizing and scaling marketing investments across all brand channels to efficiently reach the right user with the right message.
Role type
Senior Data Scientist (Growth & Marketing Attribution)
Builds
Attribution models, investment frameworks, and experimental designs for brand marketing spend allocation.
Domain
B2B Finance / Marketing Analytics / Attribution Modeling
Deliverable
production ML models | dashboards & analysis
Required skills
Statistical modeling, machine learning, econometrics, causal impact analysis, experimental design, A/B testing, marketing attribution, martech landscape knowledge, Python (numpy, pandas, sklearn), SQL (Snowflake, BigQuery, Redshift), leadership in growth organizations.
Preferred skills
Experience at high-growth startups, B2B enterprise sales cycle metrics, modern data stack (Fivetran, Snowflake, dbt, Looker, Hex, Hightouch), data orchestration platforms (Airflow, Dagster, Prefect), data science engineering best practices.
Technologies
Python, numpy, pandas, sklearn, SQL, Snowflake, BigQuery, Redshift, Fivetran, dbt, Looker, Hex, Hightouch, Airflow, Dagster, Prefect
Responsibilities
Evaluate channel performance and discern causal impact of marketing campaigns on the enterprise sales cycle; Build attribution models and investment frameworks to inform future brand channel investments; Partner with Martech, Business Systems, and Growth Engineering teams to leverage data across first and third-party sources; Drive experimental design and implementation on new channels to iterate quickly and cost-effectively; Influence processes, tools, and systems to enable scalable decision-making.
Seniority
Senior, hands-on IC with strategic ownership