Lead Data Scientist, Risk Analytics

Extend (View all Jobs)

Remote, US

Please mention No Whiteboard if you apply!
I'm a one-man team looking to improve tech interviews, and could use any support! 😄


Interview Process

1. Phone call 2. A take home project similar to making a PR at work 3. Then a meet & greet with the team.

Salary

$150,000

Programming Languages Mentioned

SQL, Python, R


About Extend:

Extend is modernizing the $100 billion-per-year protection plan industry using cutting-edge technology and top-notch customer service. 

Our technology-forward omnichannel and API-first solution allows any merchant to offer protection plans, both online and in store, while also providing a merchant's end customers with a vastly improved and modern support experience that eliminates many of the issues customers face today with legacy underwriters. More recently, Extend also launched a shipping protection solution, covering consumers in the case of lost, damaged or stolen packages. This is further expanding the company’s addressable market and value creation for merchants.

We are a venture-backed startup in downtown San Francisco led by founders who have previously had multiple successful exits. Extend simplifies the technology stack for the product and shipping protection industries.

About the Role:

You will be part of Extend's Risk Analytics team with ownership of actuarial pricing, risk monitoring, and management of the loss ratio. You will have the opportunity to help scale the organization. 

What You’ll Be Doing:

  • Lead analytics for claims operations. Guide Extend toward robust and actionable tools for the monitoring and improvement of claims operations.
  • Work directly with senior leadership to support management of our claims operations through analysis, data insights, creation of data pipelines, and dashboarding. 
  • Collaborate closely with business partners within Analytics, Operations, Product and Engineering to help automate claims operations, improve customer experience, and lower loss cost.
  • Support risk analytics through modeling and forecasting of our claims operations and insurance profitability.

What We’re Looking For: 

  • A curious, entrepreneurial data scientist with plenty of grit, analytical prowess, creative thinking, and initiative
  • Bachelor's degree from a relevant major, Master’s degree is a plus. 
  • 5+ years of work experience as a data scientist 
  • 2+ years of experience risk, operations or claims analytics
  • Ability to communicate/present across the organization, especially to teams with less data & analytics experience
  • Expertise with SQL and Python (or R)
  • Empathy and humility

Expected Pay Range: $150,000 per year*

*The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, work location and job-related knowledge, skills and experience

 

 

Life at Extend:

  • Working with a great team from diverse backgrounds in a collaborative and supportive environment.
  • Competitive salary based on experience, with full medical and dental & vision benefits.
  • Stock in an early-stage startup growing quickly.
  • Very generous, flexible paid time off policy.
  • 401(k) with Financial Guidance from Morgan Stanley.
  • Remote-Friendly 

 

 

 

Please mention No Whiteboard if you apply!
I'm a one-man team looking to improve tech interviews, and could use any support! 😄


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