Senior Data Scientist
Core
Design and deploy machine learning models (predictive scoring, clustering, forecasting) and build internal data products to drive business impact for a SaaS engagement platform.
Role type
Senior IC machine-learning engineer (analytics)
Builds
Production ML models and internal data products
Domain
SaaS / Engagement analytics
Deliverable
production ML models | product features
Required skills
Machine learning techniques, Python, SQL, production deployment, ML engineering best practices, software engineering practices, data pipeline collaboration, business acumen, mentoring
Preferred skills
Modern data tools (Looker, Hex, Snowflake), cloud platforms (AWS, Google Cloud), SaaS environment experience
Technologies
Python, SQL, Git, AWS, Google Cloud, Looker, Hex, Snowflake
Responsibilities
Design and deploy machine learning models with a focus on production deployment; Build and ship internal data products; Align priorities with stakeholders; Collaborate with data platform and analytics engineering teams; Elevate data science craft and set new standards; Provide mentorship to team members; Translate complex analyses into narratives and visualizations
Seniority
Senior, hands-on IC with mentorship
