Staff Data Scientist - Full-Stack, Fraud & Risk (Remote)

SentiLink; Austin (TX); Hybrid; USD 200,000 - 240,000; Full time

Benefits offered by this job

Employer paid health insurance

401(k) plan with employer match

Flexible paid time off

Home office stipend

Job summary

A technology firm in Austin is seeking a Staff Data Scientist to drive the development of innovative fraud detection models and contribute to product-focused work within financial risk. This role requires 6+ years of relevant experience or a PhD, strong expertise in data science, and familiarity with Python and AWS. The position is fully remote or hybrid based, offering competitive salaries and comprehensive benefits including health insurance and a 401(k) match. Candidates must be legally authorized to work in the United States.

Qualifications

• 6+ years of relevant work experience & PhD, or 8+ years & Master's.
• Strong in end-to-end data science development.
• Experience communicating outcomes to senior management.

Responsibilities

• Develop and maintain fraud detection models.
• Build models for fraud and financial risk products.
• Write production-ready code for real-time decision making.

Skills

Data Science / Machine Learning solutions

Python

Statistical analysis

Communication to stakeholders

Model development

Education

PhD in a relevant field

Master's degree in a relevant field

Tools

PostgreSQL

AWS (EC2, S3, RDS, Redshift)

Job description

A technology firm in Austin is seeking a Staff Data Scientist to drive the development of innovative fraud detection models and contribute to product-focused work within financial risk. This role requires 6+ years of relevant experience or a PhD, strong expertise in data science, and familiarity with Python and AWS. The position is fully remote or hybrid based, offering competitive salaries and comprehensive benefits including health insurance and a 401(k) match. Candidates must be legally authorized to work in the United States.