Build, test, and validate predictive models in Python under the guidance of senior data scientists
Support the deployment of models into our decisioning engine and help monitor them after launch
Dig into the data to understand why a model behaves the way it does, and keep asking questions until the answer holds up
Help measure and communicate the business impact of your work
Work with Risk, Finance, Product, and other stakeholders to understand business questions and turn them into analyses
Learn the data vendors and tools we use and help evaluate them
Take part in code and model reviews, and grow your technical skills through feedback and mentorship
What You Bring
Bachelor’s or Master’s degree (or graduating soon) in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
0 to 2 years of professional experience as a Data Scientist or relevant fields
Python skills and experience building predictive models through coursework, internships, or personal projects
Solid grounding in statistics, shown in at least one project or accomplishment on your resume
Evidence of impact, such as results from an internship or project, ideally with numbers behind them
Curiosity that goes past “here’s a cool model,” and the habit of asking why until you understand the context
Clear communication, written and verbal, with technical and non-technical audiences
What Separates You
Internship or project experience in credit, lending, or fintech
Exposure to SQL, version control, or deploying a model beyond a notebook
Experience at a small or scaling company, or on a project you owned from start to finish
Eagerness to take on many different tasks and learn from the team
Benefits & Perks
Generous health, dental, and vision insurance coverage
Employer-paid benefits including life, disability, and cost-containment resources
Hybrid work arrangement
Flexible vacation
Company performance-based bonuses
Paid parental leave
Company equity in the form of stock options
Education reimbursement program
Relocation bonus to move to Austin
Gym membership options through ClassPass or monthly reimbursement
Lunchdrop stipend
Paid parking
ERG and inclusion opportunities
Casual dress code
Team building events and activities
Referral program
Equal Opportunity Employer
Self Financial is an Equal Opportunity Employer. We celebrate diversity and are committed to an inclusive environment. We do not discriminate on the basis of any protected group status under applicable law. If you need an accommodation during the application or interview process, please let us know.
Work Authorization
We can only consider candidates who are U.S. citizens or permanent residents (green card holders). We are unable to offer visa sponsorship of any kind, now or in the future. All new hires must successfully pass a background check.
AI Integrity Policy
Self Financial is an AI-forward company. Our interview process is designed to understand your own career experience, technical acumen, and communication skills. Please do not use AI tools to generate or assist with your answers during interviews unless we explicitly invite you to. If we have reason to believe AI was used in a way that misrepresents your own abilities, we may remove you from the interview process and from consideration for future opportunities at Self.
