Data Scientist - Portfolio (Hybrid)

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

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

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 13, 2026

Salary

$87K-$110K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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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.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist - Portfolio (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: We are seeking a talented Data Scientist to join our Credit Risk Modeling team. In this role, you will develop, enhance and test our models for use in new customer acquisition and managing our existing customer portfolio. Our team focuses on ways to drive growth while balancing risk. You will independently dive into open-ended problems in order to present recommendations to executives and actively manage the credit models and offer generation that power Enova's business. 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. Our models power our lending decisions, providing critical risk insight to enable competitive and profitable loan offers. Your role will be essential in improving and managing this fundamental area of our business. Key responsibilities: - Develop and refine proprietary models to assess customer credit profile - Collaborate closely with the Strategy and Operations team to drive new initiatives - Design and implement A/B testing frameworks to evaluate the performance of our models and product configurations, analyzing outcomes to drive continuous improvement - Communicate insights and recommendations to senior management, providing a data-driven perspective on customer risk and product development strategies Requirements: - Degree in Statistics, Mathematics, Economics,

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