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.
Name of Employer: Extend, Inc.
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
.png)
Blockchain • Fintech • Financial Services • Cryptocurrency
The Engineering Manager leads a team in delivering reliable software solutions, blending technical contributions with team leadership, managing projects, and improving processes.
Top Skills:
AWSSoftware Engineering
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Senior Analyst will develop enablement content and foster best practices across partner networks, ensuring partners deliver high-quality service. They will manage training materials, collaborate with delivery teams, analyze data, and continuously improve processes and content for partners.
Top Skills:
ConfluenceJIRAMS OfficeSalesforce
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
