Staff Data Scientist

Highlights

• Help build a data-driven culture solving product and business challenges at scale.
• Shape segmentation, recommendations, forecasting, churn and product analytics.
• Build self-serve internal data products that guide future platform direction.

What they offer

• annual performance bonus
• equity

Ideal candidate

A seasoned data scientist from high-growth environments who partners closely with product and business teams, mentors others, and turns complex analysis into clear decisions.

Requirements

• 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies
• Extensive experience applying Data Science / ML for end-to-end development and deployment of data-driven products
• Familiarity with product data science including adoption, churn, cohorts, segmentation and funnel analysis
• Experience collaborating with stakeholders across Product, Sales, Engineering, Marketing and Finance
• Strong coding skills in general purpose languages like Scala or Python with software engineering principles
• Proficient in data analysis and visualization using R and Python
• Experience with distributed data processing like Spark and proficiency in SQL
• MS or Ph.D. in quantitative fields such as Statistics, Math, Computer Science, Physics, Economics or Engineering