Sr. Data Scientist, Business Analytics
Company shown to members 🔒 · Remote · US, Canada only
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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- 6+ years required
- Where you can live
- US, Canada only
- Skills and tools
- forecasting, sql, python
- Job type
- Full-time
Read from the ad by Psst's rules. Check the full ad below before applying.
Job details
- Where you can work
- United States, Canada
- Employment type
- Full-time
- Advertised pay
- $197K/yr
- Experience
- 6+ years required
- Employer publication date
- 23 September 2026
- First recorded by Psst
- 12 October 2026
- Last checked at the source
- 10 November 2026
About the job
The company HELPS MILLIONS OF PEOPLE CONFIDENTLY CARE FOR THEIR HOMES.
The company is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to the company to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together.
ABOUT THE BUSINESS ANALYTICS TEAM
The Business Analytics team unlocks strategic opportunities and enables the company to reach its full business potential. We own the metrics, dashboards, and forums that measure progress against company goals and build shared understanding of how the marketplace works. We run the deep-dive analyses that shape company strategy and team execution, and we use data to tell the company’s story to our team, our investors, and our Board. We are a tight-knit group that partners directly with leadership and cares as much about building a world-class team as we do about driving business impact.
ABOUT THE ROLE
As a Sr. Data Scientist on Business Analytics, you’ll drive insights and action across the breadth of the marketplace, with a particular focus on conversion and monetization. You’ll be a steward of key company metrics and dashboards, and you’ll dive deep on the analytical questions most critical to the company’s success. You’ll partner with our leadership team to develop company strategy and goals, share performance updates with the Board, and work across Product, Engineering, Marketing, Operations, and Finance to turn analysis into decisions. This is a high-visibility role for someone who wants their work to change what the company does next.
WHAT YOU’LL DO
- Define, monitor, and report on the key metrics that measure the company’s success
- Lead business performance analysis and reporting that surfaces emerging risks and opportunities for leadership
- Conduct deep-dive analyses that answer the questions most critical to the company’s future strategy
- Support and improve the company revenue forecasting model and the broader forecasting and planning process
- Build and maintain the dashboards and self-serve tools that teams across the company rely on
- Partner with Product, Engineering, Marketing, Operations, Finance, and the leadership team to translate insight into action
- Strengthen our data culture through peer collaboration, review, training, and coaching
IN ORDER TO BE SUCCESSFUL, YOU MUST BRING
- 6+ years of experience in a highly analytical role, preferably in tech; experience in a marketplace or two-sided platform business is a plus
- Proficiency using SQL and Python or R to analyze large data sets
- Exemplary analytical problem solving: a solid statistics foundation, strong business judgment, comfort navigating ambiguity, and the ability to synthesize insight from analysis
- Experience partnering with executives to understand business needs and drive decisions
- Strong communication skills — an attentive listener and a compelling explainer across technical and non-technical audiences
- Experience with using AI to automate workflows and enable self-serve analytics
- Experience with revenue modeling and forecasting, ideally in a high-growth or public company environment
EXPECTED SALARY RANGES
- For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $197,200.00 - $255,200.00.
- For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $177,700.00 - $229,900.00.
- For candidates living in all other US locations, the expected salary range for this role is currently $167,500.00 - $216,700.00.
Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.
The company embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law.
The company is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: [link for members]
For information about how the company collects, uses, and shares personal information about job applicants, please see our Job Applicant Privacy Policy [link for members]
We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes. [link for members]
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