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2 Enova Data Scientist Jobs Hiring Near You

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What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What is the job of a data scientist?

A data scientist analyzes large datasets to extract insights and support decision-making using statistical methods, programming, and data visualization tools. They often work with machine learning models and require skills in programming languages like Python or R, as well as knowledge of databases and data analysis techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What other companies are hiring for Data Scientist jobs?
What are the most popular jobs at Enova?
Infographic showing various Data Scientist job openings at Enova in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Hybrid job distribution.
Data Scientist - Portfolio Consumer (Hybrid)

Data Scientist - Portfolio Consumer (Hybrid)

Enova

Chicago, IL • Hybrid

$87K - $110K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist - Portfolio Consumer (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, Computer Science, or a related field
  • 3+ years of experience in Data Science, Analytics or related field
  • Advanced programming skills and the ability to write customized programs for meaningful data analysis and predictive modeling (Python)
  • Experience working with relational databases, such as SQL
  • Excellent knowledge in applied statistical methods and machine learning models
  • Ability to improve your work flow and delivery timelines with AI tools.
  • Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment
  • Experience in financial services, fintech, or a related industry preferred

Compensation:

The budgeted annual salary range for this position is $87,000 to $110,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.

Benefits & Perks:

  • Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.
  • Health, dental, and vision insurance including mental health benefits
  • 401(k) matching plus a roth option (U.S. Based employees only)
  • PTO & paid holidays off
  • Sabbatical program (for eligible roles)
  • Summer hours (for eligible roles)
  • Paid parental leave
  • DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
  • Employee recognition and rewards program
  • Charitable matching and a paid volunteer day…Plus so much more!

About Enova

Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.

Being a values-driven organization is at the core of Enova's success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova's values and culture here.

It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

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