210K–250K USD / year
Staff Data Scientist
DataRemote — worldwide
Published on 2026-09-01
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
As a Staff Data Scientist at Oscilar, you will develop advanced fraud detection models using machine learning to enhance security for clients. The role emphasizes collaboration with cross-functional teams and offers the opportunity to significantly impact fraud prevention strategies.
About the company
Oscilar is a risk decisioning platform that helps financial institutions detect fraud and automate compliance workflows in real time.
What you'll do
- Develop and implement advanced fraud detection models.
- Collaborate with engineering, product, and operations teams.
- Analyze data for patterns indicative of fraud.
- Evaluate and optimize existing fraud detection models.
- Stay updated on trends in fraud detection and data science.
- Communicate analysis results to diverse stakeholders.
What we're looking for
- 5+ years of experience in data science or machine learning.
- Proficiency in Python.
- Knowledge of machine learning algorithms for fraud detection.
- Experience with large datasets and distributed systems.
- Strong analytical and problem-solving skills.
- Ability to work in a dynamic startup environment.
Benefits
- Competitive salary and equity packages.
- Remote-first culture.
- Comprehensive health, dental, and vision insurance.
- Unlimited PTO policy.
- Family-friendly environment.