Easy Apply
Easy Apply
The Senior Data Scientist will forecast revenue, build reports and dashboards, analyze performance metrics, and collaborate on analytics projects within Extend.
About Extend:
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.
Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.
Position Title: Senior Data Scientist, Finance Analytics
Position Location: 220 Montgomery Street, Ste 2000, San Francisco, CA 94104
Salary: $120,000 - $129,000 per year
Hours: Monday – Friday, 9:00 am to 5:00 pm
Summary of Duties:
- Own the monthly revenue forecast process and assist in the quarterly/annual financial planning of Extend.
- Build reports and dashboard to help monitor / track revenue performance in a timely manner and make business recommendations based on the monitoring.
- Perform exploratory data analysis to assemble metrics and KPIs to assess and gauge activity across the Extend platform, and support teams throughout Extend by delivering analyses and process improvements to help the business continue to scale.
- Support business operations, finance, revenue operations, and other internal teams by building analytics and reporting to understand overall business performance and increase organizational efficiencies.
- Work with data engineering and product teams to ensure proper data tracking is set up for features and products, and support debugging and development of new ETL processes.
- Collaborate with stakeholders across the organizations to establish the highest business priorities and opportunities by measuring expected reach and impact for operations focused teams.
- Work with our Risk & Insurance team to build deep-dive analytics to help drive step-change improvements in efficiency (beyond day-to-day workforce management).
Telecommuting is permitted within the U.S.
Education requirements: Bachelor’s degree in Data Science, Analytics, Business, Management, or closely related field.
Experience requirements: 2 years of experience in Data Scientist related position.
Special Skills or Other Requirements:
Must have experience with each of the following:
- Experience in analytics and finance strategy, including forecasting and performance measurement.
- SQL and Python for data querying, modeling, and workflow automation.
- Statistical analysis using R or Julia for advanced modeling.
- Data pipeline development and modeling with dbt, AWS, and other cloud platforms.
- Machine learning applications in finance, including forecasting, variance analysis.
- Data visualization and stakeholder communication using Tableau, Mode, Snowsight, and Google Sheets
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.
- Generous, flexible paid time off policy.
- 401(k) with Financial Guidance from Morgan Stanley.
Extend CCPA HR Notice
Top Skills
AWS
Dbt
Google Sheets
Julia
Mode
Python
R
Snowsight
SQL
Tableau
Similar Jobs
.png)
Retail
The Sr. Data Scientist leads projects to enhance profitability through data science, mentoring teams and collaborating with business partners. Responsibilities include solution development, project management, insight presentation, and technical exploration.
Top Skills:
Google BigqueryPythonSQLTableau
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The role involves tracking and analyzing cyber threats from Iran-nexus adversaries, producing intelligence reports, and collaborating with teams for mission success.
Top Skills:
Computer Network DefenseComputer Networking FundamentalsCybersecurityIntrusion AnalysisThreat Intelligence
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Business Resilience Manager will oversee Crisis Management programs, ensuring effective response and recovery from disruptions through strategic planning, training, and collaboration across teams.
Top Skills:
Collaboration ToolsCrisis Management Software Platforms
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
