Data Scientist

Self Financial, Inc.

Austin, TX0–2 yrs12m agovia LinkedIn

This job at a glance

Who can apply
New grads and up to 2 years · Bachelor's degree or Master's degree
Must know
PythonStakeholder managementStatisticsSQL
Work
On-site in Austin
Pay
Not stated by the employer.
Skill demand
Python82%SQL73%Statistics57%Stakeholder management47%of 100 similar entry-level jobs posted in the US this week
Listed
Nov 9, 2026 · still open

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About the Role

You'll help build the models that drive credit and lending decisions, and learn how they get from a notebook into production. This is an entry-level role on a small team, offering early responsibility and close collaboration with experienced data scientists and engineers. The focus is on the business impact and context of models, rather than solely on the models themselves.

Key Responsibilities

  • Build, test, and validate predictive models in Python under the guidance of senior data scientists.
  • Support the deployment of models into the decisioning engine and monitor them post-launch.
  • Analyze data to understand model behavior and investigate discrepancies.
  • Measure and communicate the business impact of your work.
  • Collaborate with Risk, Finance, Product, and other stakeholders to understand business questions and translate them into analyses.
  • Learn and evaluate data vendors and tools.
  • Participate in code and model reviews, and grow technical skills through feedback and mentorship.

Requirements & Tech Stack

  • Python skills and experience building predictive models through coursework, internships, or personal projects.
  • Solid grounding in statistics, demonstrated in at least one project or accomplishment.
  • Evidence of impact from internships or projects, ideally with quantitative results.
  • Curiosity and a habit of asking "why" to understand context.
  • Clear written and verbal communication skills for technical and non-technical audiences.

Qualifications

  • Bachelor's or Master's degree (or graduating soon) in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.

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 owned from start to finish.
  • Eagerness to take on diverse tasks and learn from the team.

Work Arrangement

  • Austin, TX – Hybrid or Remote.

Additional Information

  • Candidates must be U.S. citizens or permanent residents (green card holders). Visa sponsorship is not available.
  • All new hires must pass a background check.

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