Senior Data Scientist, Risk Analytics
Remote, United States
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 claims analytics and monitoring. You will play a pivotal role in helping to scale the organization.
What You’ll Be Doing:
- Lead analytics for claims operations and post-purchase product features. Guide Extend toward robust and actionable tools for monitoring and optimizing claim and servicing products and policies.
- Collaborate closely with business partners within Analytics, Operations, Product and Engineering to help optimize claim intake, adjudication and fulfillment product features for excellent customer experience and lower loss cost.
- Work directly with senior leadership to support management of our claims operations through analysis, data insights, creation of data pipelines, and dashboarding.
- 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
- Ability to communicate/present across the organization, especially to teams with less data & analytics experience
- 4+ years of work experience as a data analyst
- 2+ years of experience risk, operations or claims analytics
- Expertise with SQL and Python/R
- Previous experience working with operations or product teams is a plus
- Bachelor's degree from Maths, Statistics, or a relevant major
- Empathy and humility
Estimated Pay Range: $125,000-$140,000 per year salaried*
* 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 …
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Competitive salary Dental Flexible paid time off Full Medical Stock options Vision Benefits
SkillsAnalytics Dashboarding Data analysis Data Pipeline Forecasting Modeling Omnichannel Python R Risk analytics SQL
Experience4 years
EducationBachelor's degree Business Mathematics Operations Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9