Data Scientist - Model Validation (Hybrid)

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

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Childcare support

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Learning budget

Not verified

Verification

Not verified last checked Jun 13, 2026

Salary

$87K-$110K not verified - source not recorded; timestamp not recorded

401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

12% below the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist - Model Validation (Hybrid) Chicago, IL We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. About the role: As a Data Scientist, you will be one of Enova's most valuable team members. You will develop, enhance and test the company's models for use in determining the appropriate lending criteria and verification procedures. You will perform independent model validations to evaluate model fit for purpose, conceptual soundness, mathematical theory and assumptions, data/assumptions, and output reasonableness. At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to recommend for risk management, marketing and operational strategies. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements and support implementation. Responsibilities: - Perform model validation of credit risk models - Prepare model validation reports and write technical documentation - Assist analysts in validating and preparing their models for production - Interact with model stakeholders and business partners to gather information about credit models and risk acceptances - Support model releases to ensure they are quickly and accurately put into production - Monitor model performance dashboards, build alerts, and escalate concerns as appropriate - Support and improve automated model training processes by using data manipulation, and machine learning skills - Use your programming skills to develop and test programs for custom

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