Lead Risk Analytics Data Scientist

Extend is a revolutionary post-purchase experience platform that empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits. The company is seeking a Lead Risk Analytics Data Scientist to join their centralized Risk, Analytics & Data Science team, where they will play a key role in risk monitoring and analytics for product protection and shipping protection offerings.

Requirements

• Strong analytical and data skills spanning SQL, Python or R, pipeline development and data modeling (dbt, Snowflake), and visualization tools such as Tableau or Streamlit.
• 5+ years of experience working on actuarial pricing, predictive modeling or other Risk Analytics related areas
• Ability to dive deep into data and communicate insights to audiences of all backgrounds, especially to teams with less data & analytics experience

Benefits

• Competitive salary based on experience
• Full medical and dental & vision benefits
• Stock in an early-stage startup growing quickly
• Generous, flexible paid time off policy
• 401(k) with Financial Guidance from Morgan Stanley