Junior Data Scientist - Credit Analytics (Hybrid/Remote)

Self; Austin (TX); Hybrid; USD 80,000 - 110,000; Full time

Benefits offered by this job

Hybrid work arrangement

Education reimbursement program

Relocation bonus to move to Austin

Stock options

Paid parental leave

Job summary

Self Financial in Austin, TX, is seeking an entry-level Data Scientist to join the Credit Analytics team. You’ll help build models that drive credit and lending decisions, moving from notebook to production with mentorship from senior data scientists and engineers.

You’ll work with Risk, Finance, Product, and Engineering to turn data questions into analyses, learn data vendors and tools, participate in code and model reviews, and grow your technical skills while delivering business impact.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative field.
• 0 to 2 years of professional data science experience or related internships/projects.
• Python skills and experience building predictive models.

Responsibilities

• Build, test, and validate predictive models in Python under guidance of senior data scientists.
• Support deployment of models into decisioning engine and monitor after launch.
• Analyze data to understand model behavior and extract business insights.

Skills

Python

Statistical modeling

Clear communication

Data storytelling

Explainability

Education

Data Science / Statistics / Mathematics / CS degree

Tools

SQL

Version control

Job description

Self Financial in Austin, TX, is seeking an entry-level Data Scientist to join the Credit Analytics team. You’ll help build models that drive credit and lending decisions, moving from notebook to production with mentorship from senior data scientists and engineers.

You’ll work with Risk, Finance, Product, and Engineering to turn data questions into analyses, learn data vendors and tools, participate in code and model reviews, and grow your technical skills while delivering business impact.