Data Scientist
Self Financial
Austin, TX · Posted November 9, 2026
No experience needed. The posting says: “0 to 2 years of professional experience as a Data Scientist or relevant fields”
Just laid off? Start here: a plan for the first weeks
More in Texas job market · All Data Scientist jobs (490) · Financial Services & Banking · Data & Analytics jobs
More roles at Self Financial
- Backend Software Engineer · Austin, TX
- Staff Data Engineer · Austin, TX
- Staff Data Scientist · Austin, TX
- Senior Software Engineer - Business Systems · Austin, TX
Similar jobs
- Lead Data Scientist · Memorial Hermann · Houston, TX
- Principal Machine Learning Scientist · Disco · Austin, TX
- Senior Data Scientist, Apple Ads · Apple · Austin, TX
- Applied Scientist · Apple · Austin, TX
- Data Scientist · Vestwell · Austin, TX
- Data Analyst · Vestwell · Austin, TX
Where Austin, TX ranks
Where Austin, TX placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for professional services pay after cost of living$168k · of 25
- #1Cities with the most jobs that do not need a four-year degree in the Southwest493 jobs · of 38
- #1Best cities for pay after cost of living in the Southwest$168k · of 15
- #1Best cities for pay after cost of living in Texas$168k · of 8
- #1Best cities for software and engineering jobs in the Southwest1,931 openings · of 33
- #1Best all-round cities for mid-career professionals in the Southwest92 / 100 · of 15
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 170 open data scientist listings that state pay, the middle half runs $127,000 to $186,000 and the median is $151,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
About Self Financial
Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic inclusion and financial resilience by empowering people to build credit and build savings.
We challenge the status quo of the credit industry by giving people accessible tools to take control of their credit, with a focus on the 100 million+ Americans who have no or low credit. We're looking for people who share our passion, tackle challenges, find solutions, and make the financial space better for the communities we serve.
Title
Data Scientist
Team
Credit Analytics . Builds the predictive models that drive our credit and lending decisions. We turn deep knowledge of our data into models that are deployed in production, and we work closely with Risk, Finance, Product, and Engineering to improve how we underwrite, price, and manage our customers’ credit.
Location: Austin, TX
Work Arrangement: Austin – Hybrid or Remote
About the Role
You’ll help build the models that drive our credit and lending decisions, and learn how they get from a notebook into production. This is an entry-level role on a small team, so you’ll get real responsibility early and work closely with experienced data scientists and engineers. We care less about “here’s the model and here’s what it does” and more about what it changed for the business, the context behind it, and how clearly you explain it.
What you’ll do:
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.