Staff Data Scientist

🕒 August 21

🇺🇸 United States – Remote

💵 $210k - $250k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

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Logo of Oscilar

Oscilar

51 - 200 employees

Founded 2021

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

Oscilar is a risk management platform that focuses on fraud defense, credit underwriting, onboarding risk, and AML compliance for financial institutions. Through its advanced AI Risk Decisioning™, Oscilar enables organizations to make faster and more intelligent risk decisions, monitor customer journeys, and ensure regulatory compliance seamlessly. Oscilar's platform provides comprehensive analytics and proactive detection capabilities, tailored to meet the unique risk needs of banks, fintechs, and credit unions.

📋 Description

• 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 existing fraud detection models and systems • Continuously optimize and update models to adapt to changing fraud trends and tactics • Stay current with advancements in fraud detection, data science, and machine learning • Apply new knowledge to enhance fraud prevention capabilities • Communicate 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 • Strong communication skills, with the ability to explain complex concepts and findings to 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 • 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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