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About the role
- Data Scientist building AI fraud detection models for Oscilar’s risk platform. Analyzing large datasets and strengthening fraud prevention for banks, fintechs, and digital organizations.
Responsibilities
- 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 and processes
- Analyze large volumes of data to identify patterns, trends, and anomalies indicative of fraudulent behavior
- Develop data-driven insights to improve fraud prevention strategies
- Evaluate, optimize, and update existing fraud detection models and systems as fraud trends and tactics change
- Stay current with advancements in fraud detection, data science, and machine learning
- Apply new knowledge to enhance fraud prevention capabilities
- Communicate complex data analysis and model performance results to technical and non-technical stakeholders
- Drive data-driven decision-making across the organization
- Ensure data privacy and security compliance in fraud detection and data analysis
- Help build out Oscilar's ML stack as an early member of the ML team
Requirements
- 3+ 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
- Fluency in cloud development (AWS, GCP, Azure, etc.) and MLOps is a plus
- 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, with the ability to derive actionable insights from complex data
- Strong communication skills, with the ability to explain complex concepts and findings to both technical and non-technical audiences
- Ability to work independently and collaboratively in a fast-paced, dynamic startup environment
- Experience in the fintech, marketplaces, or financial services industry is preferred
- Knowledge of current fraud tactics and trends, as well as experience with fraud detection tools and systems, is preferred
Benefits
- Competitive salary and equity packages, including a 401k
- Remote-first culture — work from anywhere
- 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US)
- Unlimited PTO policy
- AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product
- Family-Friendly environment
- Regular team events and offsites
- Unparalleled learning and professional development opportunities
- Making the internet safer by protecting online transactions
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