Remote Senior Staff Data Scientist Jobs
Remote Senior Staff Data Scientist jobs are open across the US at companies hiring remotely, from entry-level roles at remote-first startups to senior roles on large distributed teams, with employers like Airbnb, Instacart, and Geisinger hiring right now. Scan the live roles below and apply to whichever ones fit.
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Why We Exist
Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive.
Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace.
We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets.
Why We’re Hiring
Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations.
Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years.
As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas:
Growth Marketing
Product Development
AI & Automation
Strategic Partnerships
On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling.
Why You Will (Or Won't) Like Working Here
No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc.
No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals.
Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end.
What You'll Own
You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end.
Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed.
Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics.
Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be.
Who You Are
First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask "what are we trying to solve here?" before jumping to "what should I build?"
Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede.
Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane.
What You'll Bring
6+ years of experience at a consulting firm, investment bank, or high-growth technology company.
Strong analytical skills; ability to pull, structure, and interpret data independently.
Track record of owning ambiguous problems and delivering impact.
Clear, persuasive communicator who can influence decisions at the leadership level.
Our Tools
SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub.
While we appreciate your interest and application, only applicants under consideration will be contacted.
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai
The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants.
We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.
About Jerry.ai
Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.
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Find JobsRemote Senior Staff Data Scientist Job Market
Who's Hiring
- Airbnb4

- Instacart4

- Geisinger3

- Block2

- Jerry2

Top Industries Hiring
- Technology & Software17
- Healthcare & Medical Services6
- Hospitality & Tourism4
- Consulting & Professional Services4
- Investment & Asset Management3
What Employers Look For
The qualifications that appear most often in remote senior staff data scientist jobs.
- PhD or MS in statistics, computer science, or a related quantitative field with 8 or more years of industry experience
- Deep proficiency in Python and SQL with production-level experience in machine learning frameworks such as PyTorch or TensorFlow
- Experience designing and analyzing large-scale A/B tests and causal inference studies in high-traffic environments
- Demonstrated ability to lead technical strategy and mentor senior data scientists across multiple project teams
- Hands-on experience with distributed computing platforms such as Spark, Databricks, or equivalent cloud-native ML infrastructure
- Strong communication skills with a history of presenting modeling recommendations to executive or cross-functional stakeholders
Tips for Your Remote Senior Staff Data Scientist Job Search
Quantify impact at the systems level
Senior staff roles expect you to show influence beyond individual models. Reframe resume bullets around decisions you shaped, pipelines you designed for reuse, and measurable downstream outcomes, not just model accuracy or experiment volume.
Distinguish staff from senior on your resume
Hiring managers screen hard for cross-functional scope. Explicitly name the teams you partnered with, the roadmap decisions you influenced, and any mentorship or technical direction you provided to other scientists or analysts.
Target job listings by platform and stack
Filter openings by the specific ML infrastructure stack listed in each posting. If you have deep experience in a particular ecosystem, prioritize roles where that stack appears in requirements, not just in the nice-to-have section.
Apply early to roles that fit
Migrate Mate lists senior staff data scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a technical narrative for the system design round
Staff-level interviews almost always include a machine learning system design session. Practice explaining the full lifecycle of a production system you owned, covering data ingestion, feature engineering, model serving, and monitoring decisions you made and why.
Negotiate scope before you negotiate compensation
At the staff level, job scope varies widely between companies using the same title. Before accepting an offer, clarify reporting structure, team size, and whether the role owns a product area or consults across teams, then negotiate from there.
Remote Senior Staff Data Scientist Jobs: Frequently Asked Questions
How do I get a remote senior staff data scientist job?
Target companies that already run distributed teams, since they hire remotely by default and know how to onboard someone they never meet in person. Remote senior staff data scientist employers screen hard for self-direction and clear written communication on top of the core skills, so show evidence you can own work without someone over your shoulder. Apply to the openings above that match your experience.
Which companies hire remote senior staff data scientists?
Remote senior staff data scientist roles are posted by Airbnb, Instacart, and Geisinger and others right now, based on current remote listings on Migrate Mate as of June 2026. Remote-first firms and large companies running distributed teams post the most remote senior staff data scientist roles.
Can you get a remote senior staff data scientist job with no experience?
Yes, but it is harder than an on-site role, because remote work expects you to operate independently from the start. Entry-level remote senior staff data scientist openings do exist, especially at remote-first companies, and a portfolio of real work helps more than a long resume. Applying broadly to the roles that fit improves your odds.
Do you need a degree for remote senior staff data scientist jobs?
Not always. Many employers hire remote senior staff data scientists on demonstrated skills and prior work rather than a specific degree, though some larger companies still prefer one. Showing relevant results matters more than a credential for most remote senior staff data scientist roles.
Which industries hire the most remote senior staff data scientists?
The sectors hiring the most remote senior staff data scientists are Technology & Software, Healthcare & Medical Services, and Hospitality & Tourism, based on current remote listings on Migrate Mate as of June 2026. These sectors run distributed teams and hire senior staff data scientists remotely most consistently.
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