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Fintech Data Scientist Jobs (NOW HIRING)

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... fintech, real estate and more. We're insistently different in how we look at the world and are ...

We'd love to hear from you if you have: * 4+ years of hands-on data science or applied ML experience (fintech, proptech, or other high-stakes decisioning environments preferred) * Strong Python ...

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. * Prior experience as a quantitative trader or quantitative ...

Data Scientist

New York, NY · Hybrid

$160K - $185K/yr

We'd love to hear from you if you have: * 4+ years of hands-on data science or applied ML experience (fintech, proptech, or other high-stakes decisioning environments preferred) * Strong Python ...

Data Scientist

$150K - $180K/yr

The Role We're looking for a hands-on Data Scientist who treats AI tooling as a core part of the ... You'll learn a tremendous amount about fintech, and there's a significant career runway at Pipe.

Prior experience in Fintech * Software engineering experience TEAM CULTURE: We are seeking ... data technology and science. Our ideal candidates are those who aim to foster a team spirit and ...

Prior experience in Fintech * Software engineering experience TEAM CULTURE: We are seeking ... data technology and science. Our ideal candidates are those who aim to foster a team spirit and ...

As the Lead Data Scientist, you will be responsible for developing, maintaining, and automating ... Work with the Supervisory Policy team to monitor developments in Fintech, Energy, and in the ...

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Fintech Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do fintech data scientist jobs pay per year?

As of Jul 24, 2026, the average yearly pay for 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 are typical daily tasks and team collaborations for a Fintech Data Scientist?

Fintech Data Scientists typically spend their days analyzing large volumes of financial data, developing predictive models to assess risk or identify trends, and presenting findings to both technical and non-technical stakeholders. You’ll often work closely with software engineers, product managers, and business analysts to design, implement, and optimize data-driven solutions. Collaboration is key, as many projects require input from cross-functional teams, and clear communication ensures your insights drive product and business decisions. Expect a dynamic work environment where priorities can shift quickly, keeping the role both challenging and engaging.

What does a Fintech Data Scientist do?

A Fintech Data Scientist applies data science techniques to financial technology (fintech) challenges, such as fraud detection, credit risk modeling, algorithmic trading, and personalized financial recommendations. They analyze large datasets, develop machine learning models, and collaborate with engineers and business teams to optimize financial products and services. Their role requires expertise in statistics, programming (Python, R, SQL), and industry-specific knowledge to drive data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Fintech Data Scientist position, and why are they important?

To thrive as a Fintech Data Scientist, you need deep expertise in quantitative analysis, machine learning, and financial data modeling, usually supported by a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of cloud-based analytics platforms are commonly required, while certifications such as CFA or data science credentials can be beneficial. Strong problem-solving skills, communication abilities, and business acumen help differentiate top performers in this position. These skills and qualities are essential to extract valuable insights from complex financial datasets, inform strategic decisions, and drive innovation in the fast-evolving fintech industry.

What cities are hiring for Fintech Data Scientist jobs? Cities with the most 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 Fintech Data Scientist jobs? States with the most job openings for Fintech Data Scientist jobs include:
Infographic showing various Fintech Data Scientist job openings in the United States as of July 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Full-time

Posted 11 days ago


Job description

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for business leaders. The Data Scientist delves into the recesses of large data sets of structured, semi-structured and unstructured data to discover hidden knowledge about our business and to develop methods to leverage that knowledge within our line of business.

About the role

  • Analyze, manipulate and process large sets of data

  • Develop predictive/machine learning models from large sets of structured and unstructured data

  • Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models

  • Apply feature selection algorithms to models predicting outcomes of interest

  • Apply sampling techniques to determine groups to be surveyed

  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance

  • Create graphs, charts or other visualizations to convey the results of data analysis

  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to stakeholders

  • Identify business problems or leader objectives that can be addressed through data analysis

  • Identify relationships and trends or any factors that could affect the results of research

  • Identify and propose solutions to business problems using the results of data analysis

  • Test, validate and reformulate models to ensure accurate prediction of outcomes of interest

  • Write new functions or applications to conduct analyses

  • Partner with machine learning engineers on the deployment of applicable models for business projects

  • Communicate analyses, conclusions and solutions clearly to all audiences

  • Sequence the steps involved to deliver a working model, estimate the timelines for the completion of work and communicate this information to the project manager

  • Advise project teams on application improvements that will result in enhanced predictive and prescriptive models

  • Develop and evangelize best practices for statistical or behavioral models

  • Drive the collection of new data and the refinement of existing data sources

  • Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses

  • Mentor and train associate data scientists

About you

  • 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP

  • 3 years of experience with statistical and data mining tools and methods

  • 3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs)

  • 3 years of experience working with SQL

  • 3 years of experience in Python and at least one strongly typed language (e.g., C++, Java, etc.)

  • 3 years of experience with statistical packages

  • 3 years of experience providing predictive and prescriptive analytics in a business setting

  • Master's degree in mathematics, statistics, computer science or a related field or equivalent experience

  • Advanced understanding of data visualization libraries

  • Advanced understanding of statistical methodologies for modeling and business analytics

What you'll get

Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.

About us

Rocket is a Detroit-based company made up of businesses that provide simple, fast and trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage, which was founded in 1985. Today, we're a publicly traded company involved in many different industries, including mortgages, fintech, real estate and more. We're insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.

This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.