Data Scientist – Machine Learning Operations and Deployment (Hybrid)
Job Description
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 an Analyst or Data Scientist for Machine Learning Operations, you will be one of Enova’s most valuable team members. You will develop, enhance and deploy software that helps us build and deploy our models critical to our business. You are the medium that allows us to quickly go from an idea to an in production endpoint. You build and maintain tools that enable us to build models faster, keep them working, and scale accordingly. Our goal is to reduce time and friction at all points of the modeling lifecycle.
At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to recommend improvements for 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. Then you must be able to self drive the execution and deployment of those tools.
You must be curious, humble, eager to learn, and willing to grow. The people that succeed at Enova operate as an owner and get things done, and ask the right questions.
Enova’s Analytics team consists of over 100 quantitative professionals dedicated to using the latest cutting-edge techniques to drive business value. We are a shared service for the entire company and operate in four core Analytics workgroups. We predominantly use Python for our Machine Learning Operations, but we also use R, SQL, SAS and Mathematica for our model building.
Requirements:
- Advanced programming skills and the ability to write customized programs for meaningful data analysis (Python). Proficiency with other modeling languages a plus (R, SAS, Mathematica)
- Experience working with relational databases, such as SQL
- Knowledge of statistical/econometric modeling
- A Bachelor’s degree in a quantitative field or equivalent experience
#BI-Hybrid #LI-Hybrid
Benefits & Perks:
- Hybrid roles entail working in-office from Tuesday to Thursday, with the choice to work remotely on Mondays and Fridays
- 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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