Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
Staff Data Scientist
Austin, TX
Actively hiring, first seen by us today- Pay
- Pay not listedSimilar roles state $118K–$194K
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- US citizens or permanent residents only
We can only consider candidates who are US citizens or permanent residents (green card holders)
- Eligibility
We can only consider candidates who are U.S. citizens or permanent residents (green card holders). — eligibility source
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.
Read the full posting
What you’ll work on
Full postingYou’ll build the models, take them into production, and show what they changed for the business.
You’ll build the models, take them into production, and show what they changed for the business.
Design, build, and validate predictive models in Python that inform credit and lending decisions
Partner with engineering to deploy models into our decisioning engine and monitor them after launch
From the employer’s posting
You’ll build the models, take them into production, and show what they changed for the business. We’re a small company, so you’ll wear many hats and work with engineering to put your models into our decisioning engine. We care less about “here’s the model and here’s what it does” and more about the dollars and percentages it moved, the context behind it, and how clearly you explain it.
About the Role You’ll build the models, take them into production, and show what they changed for the business. We’re a small company, so you’ll wear many hats and work with engineering to put your models into our decisioning engine. We care less about “here’s the model and here’s what it does” and more about the dollars and percentages it moved, the context behind it, and how clearly you explain it. What you’ll do:
What you’ll do: Design, build, and validate predictive models in Python that inform credit and lending decisions Partner with engineering to deploy models into our decisioning engine and monitor them after launch
Design, build, and validate predictive models in Python that inform credit and lending decisions Partner with engineering to deploy models into our decisioning engine and monitor them after launch Dig into the data to understand why a model behaves the way it does, and keep digging until the answer holds up
What you’ll bring
All qualificationsCore experience
- 8+ years of professional data scientist experience
- Experience taking models from development to production
- Experience working with third-party data vendors
- Strong Python skills and a record of building predictive models
- Experience at a small or scaling company where you owned work end to end
Preferred experience
- Experience in credit and lending with fintech as a plus
Qualification wording
8+ years of professional data scientist experience
Experience taking models from development to production
Experience working with third-party data vendors
Strong Python skills and a record of building predictive models
Experience at a small or scaling company where you owned work end to end
Experience in credit and lending with fintech as a plus
Benefits in the posting
Full benefits wording- Generous health, dental, and vision insurance coverage
- 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
From the employer’s posting.
About Self Financial
We're looking for people who share our passion, tackle challenges, find solutions, and make the financial space better for the communities we serve.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 9, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 7 and day 57.
From 10,815 similar postings that came down. Coming down is not always a hire.
Self Financial is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
Where the posting names them
What you’ll do: - Design, build, and validate predictive models in Python that inform credit and lending decisions - Partner with engineering to deploy models into our decisioning engine and monitor them after launch
- 8+ years of professional data scientist experience - Strong Python skills and a record of building predictive models - Statistical rigor, shown in at least one accomplishment on your resume
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
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Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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
Staff 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 build the models, take them into production, and show what they changed for the business. We’re a small company, so you’ll wear many hats and work with engineering to put your models into our decisioning engine. We care less about “here’s the model and here’s what it does” and more about the dollars and percentages it moved, the context behind it, and how clearly you explain it.
What you’ll do:
- Design, build, and validate predictive models in Python that inform credit and lending decisions
- Partner with engineering to deploy models into our decisioning engine and monitor them after launch
- Dig into the data to understand why a model behaves the way it does, and keep digging until the answer holds up
- Measure and communicate the business impact of your work in dollars and percentages
- Work with Risk, Finance, Product, and other stakeholders to turn business questions into modeling problems and recommendations
- Evaluate and work with the data vendors and tools we use
- Set the technical bar for the team through code and model review, and mentor other analysts and data scientists
What You Bring
- 8+ years of professional data scientist experience
- Strong Python skills and a record of building predictive models
- Statistical rigor, shown in at least one accomplishment on your resume
- Business impact you can quantify, with the dollars and percentages to show it
- Curiosity that goes past “here’s a cool model,” and the habit of asking why until you understand the context
- Clear communication with both technical and non-technical audiences
- Experience taking models from development to production
What Separates You
- Experience in credit and lending with fintech as a plus
- Experience working with third-party data vendors
- Experience at a small or scaling company where you owned work end to end
- Comfort moving between hands-on modeling, stakeholder partnership, and mentoring
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Austin, TX
Location: Austin, TX Work Arrangement: Austin – Hybrid or Remote About the Role
More source context
- Employer-paid benefits including life, disability, and cost-containment resources - Hybrid work arrangement - Flexible vacation
- Work authorization
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