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Credit Data Scientist Jobs (NOW HIRING)

Capital One Group

$43K - $43K/yr

Principal Associate, Data Scientist - AI in Credit Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer ...

RELX

Data Scientist

Alpharetta, GA · On-site

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... credit-based data sources, generally using GLM techniques * Supports existing models * Python ...

RELX Group plc

Data Scientist

Alpharetta, GA · On-site

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... credit-based data sources, generally using GLM techniques * Supports existing models * Python ...

LexisNexis

Data Scientist

Alpharetta, GA · On-site

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... credit-based data sources, generally using GLM techniques * Supports existing models * Python ...

Cypress HCM

Credit Strategy Data Scientist

CA · Remote

$50 - $53.33/hr

Credit Strategy Data Scientist This is an exciting opportunity to join a growing global company in the cloud-based software industry. We are looking for a talented, enthusiastic and dedicated person ...

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How much do credit data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for credit 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.

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Infographic showing various Credit Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Staff Data Scientist, ML (Credit Risk)

Menlo Park, CA • On-site

Robinhood
See more jobs at Robinhoodexternal

Full-time

Medical, Life, Retirement, PTO

Re-posted 3 days ago

Robinhood rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

About the team + role

We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Credit Card business team's mission is to shape Robinhood's vision in the credit and banking space by delivering smart, customer-focused financial solutions. Our team is dedicated to reshaping the credit landscape and redefining the way people interact with financial services daily. We leverage cutting-edge analytical tools and diverse datasets to build deep understandings of consumer credit behaviors. We aim to make financial services accessible to everyone, building programs that support Robinhood's broader goals!

As a Staff Data Scientist, you will build credit risk models that allow us to better serve our customers and make responsible lending decisions. Credit models are at the heart of all lending decisions. These models will drive decisions ranging from approve/decline, line assignment at origination and future credit limit increases. You will leverage traditional and non-traditional data sources to build highly predictive risk models. You will own the full lifecycle of model development from data prep, model building to model deployment.

This role is based in our Menlo Park, CA, or Washington, DC office(s), with in-person attendance expected at least 3 days per week. 

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you'll do

  • Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management

  • Collaborate with credit analysts and product managers to understand the business problem and deliver appropriate models to solve them

  • Create rich datasets leveraging both traditional and non-traditional data sources. Work on innovative tools to generate powerful features that boost models

  • Deploy, maintain and monitor models in production

  • Communicate with senior stakeholders in credit, product and engineering to deliver key results and findings

What you bring

  • You have 7+ years of experience in data science and credit modeling

  • You have strong proficiency in SQL and Python for data analysis and modeling

  • You have experience designing experiments and interpreting results to guide product decisions

  • You have domain knowledge and expertise in traditional credit data. Experience with non traditional credit data (such as cash flow) is a plus

  • You communicate clearly with both technical and non-technical partners

What we offer

  • Challenging, high-impact work to grow your career

  • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching

  • Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents

  • Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not

  • Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more

  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits

  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!

  • Exceptional office experience with catered meals, events, and comfortable workspaces.

What Robinhood employees say

Pay

Benefits

Hours and flexibility

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