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Remote Fintech Data Scientist Jobs (NOW HIRING)

Pipe Technologies

Data Scientist

$150K - $180K/yr

You'll learn a tremendous amount about fintech, and there's a significant career runway at Pipe ... Compensation and Benefits We are a fully remote company and we believe in taking care of our ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Found

Senior Data Scientist, Risk

New York, NY · On-site +1

$163K - $225K/yr

You may also have: * Previous experience working at a fintech. * Previous startup experience ... For team members who work outside those cities, Found also supports fully remote working.

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

NinjaHoldings

Data Scientist

They are seeking a Data Scientist to build predictive models, analyze consumer risk behavior, and ... or FinTech • Marketing analytical experience Company : NinjaHoldings is a digital financial ...

Lorven Technologies

Data Scientist

Data Scientist Location : Remote Duration: Long term * Bachelor's degree or Master's Degree in Computer science, or a related field, with minimum 10+ Years of relevant experience. * Must be ...

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title: Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central time zone.

Availity, LLC

Data Scientist (Remote)

Position is 100% remote. Requirements: Master's degree in Data Science, Analytics, Information Systems, or a directly related field, plus 1 year of experience as a data scientist or related ...

GD Resources LLC

Data Scientist - Remote Role

Remote Position Summary The Senior Data Scientist provides advanced analytical expertise supporting the SBA OIG Technology Solutions Division through the design, development, deployment, and ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

Knexus

Data Scientist (Remote)

Position Overview We're looking for an experienced Data Scientist to join our team at Knexus. This is a fully remote position for candidates in the continental U.S., with work hours aligned to the ...

Great Gray

Data Scientist

The data scientist we seek comeswith strong experience in Python and its data science ecosystem ... Please note that remote employment in this role is restricted to candidates residing in states ...

Mission Lane

Senior Data Scientist, Credit

$120K - $135K/yr

Experience solving problems in consumer lending or fintech * Interest in developing ways to train ... remote-friendly work environment. About Mission Lane: Founded in December 2018, Mission Lane is a ...

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

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All JobsFintech Data Scientist JobsRemote Fintech Data Scientist Jobs

Remote Fintech Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do remote fintech data scientist jobs pay per year?

As of Aug 3, 2026, the average yearly pay for remote fintech data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Fintech Data Scientist vs Remote Fintech Data Analyst?

AspectRemote Fintech Data ScientistRemote Fintech Data Analyst
Required SkillsAdvanced statistical, machine learning, and programming skillsData interpretation, reporting, and basic analytics skills
CertificationsOften holds certifications like Certified Data Scientist or relevant data science coursesTypically has certifications in data analysis or business intelligence tools
Work EnvironmentDevelops models, algorithms, and predictive analytics in fintech companiesPrepares reports, dashboards, and insights for business decisions in fintech
Industry UsageUsed for complex data modeling and predictive analytics in fintechUsed for data reporting and basic analysis in fintech firms

In summary, Remote Fintech Data Scientists focus on building models and advanced analytics, requiring programming and machine learning expertise. Remote Fintech Data Analysts primarily interpret data and generate reports, with less emphasis on coding and modeling. Both roles are vital in fintech but serve different analytical needs.

More about Remote Fintech Data Scientist jobs
What cities are hiring for Remote Fintech Data Scientist jobs? Cities with the most Remote Fintech Data Scientist job openings:
What are the most commonly searched types of Fintech Data Scientist jobs? The most popular types of Fintech Data Scientist jobs are:
What states have the most Remote Fintech Data Scientist jobs? States with the most job openings for Remote Fintech Data Scientist jobs include:
What job categories do people searching Remote Fintech Data Scientist jobs look for? The top searched job categories for Remote Fintech Data Scientist jobs are:
Remote Fintech Data Scientist jobs near you
Infographic showing various Remote Fintech Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Pipe Technologies

Remote

$150K - $180K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 2 days ago

Job description

The Role
We're looking for a hands-on Data Scientist who treats AI tooling as a core part of the craft. You'll work in an agentic development environment, such as Claude Code, Cursor, and similar, to build, ship, and iterate on statistical and ML models faster than a traditional DS workflow allows. The problems are real: credit underwriting, risk management, and cash-flow forecasting for SMBs across five countries. You'll learn a tremendous amount about fintech, and there's a significant career runway at Pipe.
Your key responsibilities will include:
  • Partner with senior scientists to forecast cash flows and other drivers of business health using statistical and ML modeling.
  • Design and build models that make our capital products better for customers and deliver positive return assets. Sharper pricing, lower losses, growth and offers that fit how SMBs actually run.
  • Proactively mine our datasets for insight, and prototype new models that move the needle for customers and the business.
  • Own model outcomes end-to-end. Not just deployment bespoke to the platforms Pipe serves (e.g., UberEats and Housecall Pro), but ongoing performance, residual analysis, drift detection, and the judgment calls about when a model needs to be retrained, replaced, or retired. You'll work closely with product, risk peers and engineering to make this real in production.

Qualifications
We're looking for a motivated, curious Data Scientist with:
  • 3-5+ years building ML models, including training, evaluation, and deployment.
  • Fluency in Python and the standard stack (NumPy, Pandas, scikit-learn, etc.).
  • Working comfortably with agentic coding tools (Claude Code, Cursor, or similar) and standard dev tooling (GitHub, VS Code).
  • Strong fundamentals in probability, statistics, and machine learning.
  • Clear written and verbal communication; comfortable collaborating across functions and surfacing progress, tradeoffs, and results.
  • Bachelor's in CS, Applied/Financial Math, Statistics, Economics, or a related technical field. Master's is a plus, not a requirement.
  • Bonus: prior experience in credit risk modeling, underwriting, or adjacent risk decision sciences (insurance pricing, actuarial, fraud) is a strong plus.

In general, you will be successful at Pipe if:
  • You want to make a real dent at a fast-moving company.
  • You hold yourself and your teammates to a high bar.
  • You have a strong technical foundation and want to put it to work helping customers succeed.
  • You take end-to-end ownership and like working across functions.
  • You want to be in an environment that values and rewards excellence.

Compensation and Benefits
We are a fully remote company and we believe in taking care of our employees. As a Pipe employee, you'll receive:
  • The best equipment to help you do your job.
  • Flexible vacation and work hours. We believe in a healthy work-life balance (really!)
  • Excellent health, dental, and vision insurance.
  • Generous parental leave for anyone who is growing their family, regardless of gender.
  • Great colleagues! We value a culture of authenticity, humility, and excellence. We want you to make a mark on our culture.

The annual US base salary range for this role is $150,000 - $180,000. This salary range may be inclusive of several career levels at Pipe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location.

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