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Data Scientist

NinjaHoldings Open · verified Oct 24, 2026
Remote Chicago Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at NinjaHoldings. Remote, United States · full-time · no salary stated · we estimate $100,350–$187,788.

Estimated pay

NinjaHoldings has not published a salary for this role. The figure below is our estimate, not theirs.

$100,350 – $187,788
What the middle half of mid-level data science roles in Chicago paid, among postings that did state a salary.
Worked out from 14 postings that stated pay, median $122,193. Last updated Oct 20, 2026.
RoleData Science
SeniorityMid-level
LocationChicago
WorkplaceRemote
EmploymentFull-time
PostedAug 27, 2026 · 8w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build statistical models and simulations that guide lending decisions
  • Analyze consumer risk patterns, portfolio effects and opportunities tied to those trends
  • Help engineers put models into use, then check results after release
  • Create shared tools for model development and monitoring, plus SQL and Python dashboards for key metrics
  • Test models and underwriting approaches with A/B experiments, assess results and recommend next steps

What you bring

  • A bachelor's degree is required
  • At least two years working in data analytics and statistical modeling
  • Experience with relational databases and SQL, plus programming ability in Python
  • Strong quantitative judgment, problem-solving skills and attention to detail

Who this fits

This role suits a mid-level data scientist who can combine modeling and analytics with hands-on implementation and clear recommendations. You’ll work with software engineers and other teams in a remote-first role based in Chicago.

From the employer

  • Data Scientist

Founded in 2017, NinjaHoldings works to give everyday Americans better access to financial services than traditional institutions typically provide. Through our CreditNinja and NinjaCard brands, we offer digital banking and lending products designed for consumers often overlooked, paired with incentives that support long-term financial improvement. Our Edge brand extends this expertise to other companies, providing underwriting, fraud detection, and analytics services. Headquartered in Chicago with a distributed global workforce, we are a lean, growing organization committed to advancing consumer finance in the US.

Key Responsibilities:

  • Build predictive models to optimize lending decisions by using advanced statistical modeling and simulation techniques
  • Use advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities
  • Support the implementation of models by working closely with the software engineering team and performing post release checks and analysis
  • Assist with development of technical tools and platforms to standardize and streamline model development and monitoring processes
  • Establish key performance metrics and develop automated reporting dashboards using SQL and Python
  • Design A/B testing for models and underwriting strategies, evaluate impact, and provide recommendations
  • Work with cross-functional teams to explore new ways of finding insights from data and provide recommendations
  • Communicate concise and actionable business strategies to senior management

Ideal Candidate Will Have:

  • Bachelor's degree required
  • 2+ years of professional experience with data analytics and statistical modeling
  • Experience with relational databases and SQL
  • Programming experience with Python
  • Strong quantitative and problem-solving skills with key attention to detail
  • Experience supporting and working with cross-functional teams in a dynamic environment

Additional Pluses:

  • Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)
  • Experience working with specialty finance or FinTech
  • Marketing analytical experience

Benefits & Perks:

  • Flexible Paid Time Off
  • Health Benefits with generous medical, dental and vision insurance plans
  • 401(k) with matching contribution
  • Paid Family Leave
  • Annual Wellness & WFH Subsidies
  • Employee Referral Program
  • Remote first culture with convenient downtown office in the heart of the city

IMPORTANT NOTICE:
Please carefully review communications to ensure that they are from the official Breezy applicant tracking platform (@breezy-mail.com) or an official NinjaHoldings brand email: @ninjaholdings.com, @creditninja.com, @ninjacard.com, or @edgescore.com. If you have been contacted regarding a job opening at NinjaHoldings from any other email address, including similar email variations, this is NOT a trusted source. We recommend that you refrain from responding to suspicious emails and file a complaint with the FBI's Internet Crime Complaint Center (IC3) at https://www.ic3.gov. For questions or to confirm the authenticity of a communication, please email hr @ninjaholdings.com.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data ScienceRemote

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.