Lead Data Scientist, Finance Analytics
Remote, US
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 Finance Analytics team, bringing automation and sophistication to Revenue Forecast and Financial Planning. You will have the opportunity to help scale the organization.
What You’ll Be Doing:
- Take ownership of revenue forecasting through development of forecasting models and revenue performance monitoring / reporting
- Work closely with CFO and other company leaders to identify revenue opportunities and improve financial planning process
- Work collaboratively with cross-functional teams to understand different areas that impact revenue / financials of the organization and help with better forecasting / monitoring
- Build and maintain data architecture for financial and accounting input. Work closely with Data Engineering to make optimal use of available tools (DBT, Snowflake, JIRA, Github, etc).
- Lead efforts around financial data integrity through appropriate tools and governance.
What We’re Looking For:
- A curious, entrepreneurial data scientist with plenty of grit, analytical prowess, creative thinking, and initiative
- Hands-on experience with forecasting models (time series models such as ARIMA) is a must
- 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 with financial modeling. insurance/financial experience is a plus
- Ability to communicate/present across the organization, especially to teams with less data & analytics experience
- Expertise with SQL and Python
- Empathy and humility
Expected Pay Range: $140,000 - $150,000 per year salaried*
*The base salary and expected OTE for this position are listed above. OTE is payable based on the Company's variable sales compensation plan; employees who exceed annual sales targets may receive additional compensation. Incentive compensation will be provided as part of a total compensation package.
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.
Apply
Job Profile
401k with financial guidance 401k with guidance Competitive salary Dental Dental & vision benefits Flexible paid time off Full Medical Stock options Vision Benefits
Tasks- Data architecture
- Financial data integrity
- Financial planning
- Reporting
- Revenue forecasting
Analytics Arima Automation Customer service Data engineering Data Science Dbt Financial modeling Forecasting Forecasting models GitHub Jira Modeling Omnichannel Python Snowflake SQL Time series models
Experience5 years
EducationBachelor's degree Finance Master's degree
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