Sr./Staff Data Scientist

Stack

Responsibilities

• ▹Develop advanced fraud detection models using ML
• ▹Collaborate with engineering, product, and operations teams
• ▹Analyze large volumes of data to identify patterns and anomalies
• ▹Evaluate and optimize existing model performance
• ▹Stay current with fraud detection and ML trends
• ▹Communicate analysis results to technical and non-technical stakeholders

Requirements

• ▹3+ years in data science or ML, focused on fraud prevention
• ▹Proficiency in Python
• ▹Strong knowledge of ML algorithms and statistical techniques
• ▹Experience with large datasets and distributed systems (Spark, Dask)
• ▹Excellent analytical and problem-solving skills

Nice to have

• ▹Cloud development experience (AWS, GCP, Azure) and MLOps
• ▹Experience in fintech, marketplaces, or financial services
• ▹Knowledge of current fraud tactics and trends

Soft skills

What we offer

• ▹Competitive salary and equity, including 401k
• ▹Remote-first flexibility

About the company

Oscilar works alongside veterans from Meta, Uber, Citi, and Confluent to build an AI Risk Decisioning Platform that manages fraud, credit, and compliance risk for banks and fintechs.