Oscilar · 1 week ago
Sr./Staff Data Scientist
United States
Full-time
Remote
Senior Level, Lead/Staff
3+ years expOscilar is building an advanced AI Risk Decisioning™ Platform that helps banks, fintechs, and digitally native organizations manage fraud, credit, and compliance risk. As a Data Scientist, you will develop and implement advanced fraud detection models and collaborate with cross-functional teams to enhance fraud prevention strategies.
Cyber SecurityOperating SystemsSecurity
Responsibilities
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
Qualification
Required
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
Preferred
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
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
Company
Oscilar
The smartest way to make risk decisions.
51-200 employees
H1B Sponsorship
Oscilar has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (3)
2023 (2)
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
$20M2021-07-05Series A· $20M
Leadership Team
Neha Narkhede
Co-Founder & CEO
Recent News
MarketScreener
2025-12-12
2025-12-11
Company data provided by crunchbase