Lead Data Scientist, Finance Analytics

Posted 23 Days Ago
Hiring Remotely in US
Remote
Senior level
eCommerce • Insurance • Software
The Role
As a Lead Data Scientist in the Finance Analytics team, you'll develop forecasting models, enhance financial planning processes, and ensure data integrity. Collaborating with senior leadership, you'll identify revenue opportunities and optimize financial performance monitoring by leveraging various tools and data architectures.
Summary Generated by Built In

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.

Extend CCPA HR Notice




Top Skills

Python
SQL
The Company
San Francisco, CA
181 Employees
On-site Workplace
Year Founded: 2019

What We Do

Extend allows any merchant to offer extended warranties and protection plans through our easy-to-integrate APIs or pre-built eCommerce applications. We power extended warranties both online and offline while also providing consumers with a modern, digitally native experience that eliminates the issues customers face today with legacy offerings.

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