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Shape the future of trust in the age of AI. At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place. As a Data Scientist at Oscilar, you will be responsible for developing and implementing advanced fraud detection models to protect our customers’ business from fraudulent activities. As an early member in the ML team you will have great impact in building out our ML stack.
Job Responsibility:
Develop and implement advanced fraud detection models, leveraging machine learning and statistical techniques, to identify and prevent fraudulent activities across our platform
Collaborate with cross-functional teams, including engineering, product, and operations, to design and implement fraud detection systems and processes
Analyze large volumes of data to identify patterns, trends, and anomalies indicative of fraudulent behavior, and develop data-driven insights to improve fraud prevention strategies
Evaluate the performance of existing fraud detection models and systems, and continuously optimize and update them to adapt to changing fraud trends and tactics
Stay up-to-date with the latest trends and advancements in fraud detection, data science, and machine learning, and apply this knowledge to enhance our fraud prevention capabilities
Communicate complex data analysis and model performance results to both technical and non-technical stakeholders, driving data-driven decision-making across the organization
Ensure data privacy and security compliance in all aspects of fraud detection and data analysis
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
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, handling data-related challenges such as data cleaning, data quality, and 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
Nice to have:
Fluency in cloud development (AWS, GCP, Azure, etc.) and MLOps is a plus
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
What we offer:
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