Staff Data Scientist

The role

You will develop and implement advanced fraud detection models using machine learning and statistical techniques. You will also collaborate with cross-functional teams to design fraud detection systems and analyze large datasets to identify fraudulent patterns.

What you will do

• Develop and implement advanced fraud detection models using machine learning and statistical techniques.
• Collaborate with engineering, product, and operations teams to design and implement fraud detection systems.
• Analyze large volumes of data to identify patterns, trends, and anomalies indicative of fraudulent behavior.
• Evaluate and optimize the performance of existing fraud detection models and systems.
• Stay up-to-date with trends in fraud detection, data science, and machine learning.
• Communicate complex data analysis and model performance results to technical and non-technical stakeholders.
• Ensure data privacy and security compliance in all aspects of fraud detection and data analysis.

Required qualifications

• 5+ years of experience in data science, machine learning, or a related field, with a focus on fraud prevention and/or anti-money laundering.
• Proficiency in Python.
• Strong knowledge of machine learning algorithms and statistical techniques, with a focus on their application in fraud detection.
• Experience working with large datasets using distributed systems like Apache Spark and Dask.
• Experience handling data cleaning, data quality, data transformation and feature engineering at scale.
• Excellent analytical and problem-solving skills.
• Strong communication skills.
• Ability to work independently and collaboratively in a fast-paced, dynamic startup environment.

Nice to have

• Fluency in cloud development (AWS, GCP, Azure, etc.) and MLOps
• Experience in the fintech, marketplaces, or financial services industry.
• Knowledge of current fraud tactics and trends, as well as experience with fraud detection tools and systems.

Benefits

• Competitive salary and equity packages
• 401k
• Remote-first culture
• Comprehensive health, dental, and vision insurance for you and your dependents (US)
• Unlimited PTO policy
• Regular team events and offsites
• Learning and professional development opportunities

About the company

Oscilar is building an AI Risk Decisioning Platform used by banks, fintechs, and digitally native organizations to manage fraud, credit, and compliance risk. The company is an AI First company with over 50% of the company in Engineering and Product.