Data Scientist – Remote (United States)
Up to $170,000 on-target earnings plus bonus and equity. Work from home anywhere in the US, on East Coast hours. Posted October 13, 2026.
The short version
If you would rather spend your week fixing a shaky statistical baseline than building slide decks, this Data Scientist opening deserves a proper read. It is one of the better remote jobs USA listings we have seen lately for people who care about the math underneath the dashboard.
The role is fully work from home anywhere in the United States, and the company also offers office space in a few cities if you ever want it. The catch: you will be expected to keep East Coast working hours.
What the team does
You would join a core Panel Science team that builds the statistical foundations behind enterprise consumer analytics. In plain terms, they make sure the numbers customers see across different products actually hold up. That means refining baselines, improving complicated models, and building logic libraries other people can rely on.
The listing does not name the employer in the text we received, so check the application page for company details before you apply.
What you will be doing
- Designing, validating and deploying optimization frameworks and distribution models that keep the math sound in every downstream metric.
- Looking at advanced methods, weighing the trade-offs, and putting the right statistical procedures into the panel foundations.
- Working with other teams to turn one-off scripts into standard, version-controlled templates and reusable libraries.
- Structuring analytical logic so it can feed anything from interactive dashboards to LLM-driven apps.
- Teaming up with Data Engineering to speed up code and push heavy statistical calculations out of regular database queries and into production-grade cloud compute.
Who they want
- 4–5 years in data science, or 2–3 years with an advanced degree
- Bachelor’s in statistics, economics, physics, math, engineering or similar
- Real depth in modeling and optimizing statistical distributions
- Advanced Python or R, and expert-level SQL
- A master’s degree
- Panel data or longitudinal consumer data experience
- Hands-on work with receipt or transaction-level data
- Databricks and scaling heavy compute workloads
Pay, perks and where you can work
The posted figure is up to $170,000 a year in on-target earnings, plus a bonus element and equity. There is no lower bound listed and no currency code, and it is an OTE number, not a guaranteed base salary. Your final offer depends on experience and internal team benchmarks.
- Flexible hours and flexible vacation, alongside the East Coast schedule
- Generous 401(k) match and parental leave
- Wellness budget and learning reimbursement
- Growth based on impact, not just tenure
Good to know: you can work remotely from anywhere in the US, from New York City, or from hubs in Austin, Miami, Denver, Mountain View or Seattle. Depending on where you work, income may be subject to New York State tax withholding. Candidates who need visa sponsorship now or later cannot be considered.
How to apply
Send a PDF resume so nothing gets scrambled in rendering. The application asks about projects where you used advanced Python and SQL, your quantitative education, why you want this move, any employment gaps, salary expectations, work authorization and availability. The last step is arranging reference calls with former managers and others (former direct reports too, if you managed people).
Ready? Apply for the Data Scientist role through the link below, and keep your best Python and SQL project ready to describe.
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Questions people ask
Is this a fully remote job in the USA?
Yes. You can work remotely from anywhere in the United States, though East Coast hours are expected. Office hubs in New York City, Austin, Miami, Denver, Mountain View and Seattle are optional.
How much does this remote job pay?
The listing says up to $170,000 per year in on-target earnings, plus a bonus element and equity. No minimum is given, and the final offer depends on your experience and team benchmarks.
Do I need a master’s degree to apply?
No. A bachelor’s in a quantitative field is required, with 4–5 years of experience (or 2–3 with an advanced degree). A master’s is a plus, not a must.
Can the company sponsor a visa?
No. Candidates who need visa sponsorship now or in the future cannot be considered for this WFH job.
What happens after I apply?
You answer a set of application questions with a PDF resume, and the final hiring step is arranging reference calls with former managers and others. Equal employment opportunity applies, and voluntary demographic answers do not affect hiring decisions.
Final word
This Data Scientist job is a strong fit if you are comfortable in the details of distributions and SQL. Do not wait too long, and if you want similar remote jobs USA every week, bookmark the category page above.
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