Data Scientist, Sr.

About The Company Oscilar is at the forefront of developing the most advanced AI Risk Decisioning Platform, dedicated to transforming how financial institutions and digital organizations manage fraud, credit, and compliance risks. Our mission-driven team comprises industry veterans from leading companies such as Meta, Uber, Citi, and Confluent, all united by a shared vision to make the internet safer for everyone. We foster a culture of innovation, ownership, and impact, empowering our employees to take responsibility and drive meaningful change in the financial technology landscape. As an AI-first company with a strong engineering foundation, we prioritize cutting-edge technology, continuous learning, and a collaborative environment to shape the future of trust in the digital age.

About The Role As a Data Scientist at Oscilar, you will play a pivotal role in developing and deploying advanced fraud detection models that safeguard our clients’ businesses from fraudulent activities. Being an early member of the Machine Learning team, you will have significant influence in building and expanding our ML infrastructure and capabilities. Your expertise will contribute to analyzing large-scale data, identifying patterns indicative of fraud, and continuously optimizing our detection systems. You will collaborate closely with engineering, product, and operations teams to design robust fraud prevention strategies, ensuring compliance with data privacy and security standards. Your work will directly impact our mission to make online transactions safer and more trustworthy, leveraging the latest advancements in data science and machine learning.

Qualifications

• 3+ years of experience in data science, machine learning, or related fields, with a focus on fraud prevention or anti-money laundering.
• Proficiency in Python programming.
• Experience with cloud platforms such as AWS, GCP, or Azure, and familiarity with MLOps practices.
• Strong knowledge of machine learning algorithms and statistical techniques applicable to fraud detection.
• Experience working with large datasets using distributed systems like Apache Spark and Dask.
• Excellent analytical and problem-solving skills to derive actionable insights from complex data.
• Effective communication skills for explaining technical concepts to diverse audiences.
• Ability to work independently and collaboratively in a fast-paced startup environment.

Responsibilities

• Develop and implement advanced fraud detection models utilizing machine learning and statistical methods to identify and prevent fraudulent activities across our platform.
• Collaborate with cross-functional teams, including engineering, product, and operations, to design and deploy fraud detection systems and processes.
• Analyze large datasets to uncover patterns, trends, and anomalies indicative of fraud, providing data-driven insights to improve detection strategies.
• Evaluate and optimize existing fraud detection models to adapt to evolving fraud tactics and improve accuracy.
• Stay informed about the latest trends, tools, and advancements in fraud detection, data science, and machine learning, applying this knowledge to enhance our systems.
• Communicate complex analytical results and model performance metrics to both technical and non-technical stakeholders, facilitating data-driven decision-making.
• Ensure all data handling and analysis complies with privacy and security standards and regulations.

Benefits

• Competitive salary and equity packages, including a 401k plan.
• Remote-first culture supporting flexible work arrangements.
• Comprehensive health, dental, and vision insurance coverage, fully paid by the employer for employees and dependents (US and Canada).
• Unlimited paid time off policy to promote work-life balance.
• Home office setup assistance to create a productive remote workspace.
• Access to unparalleled learning and professional development opportunities.
• Participation in regular team events and offsite gatherings fostering a collaborative culture.
• Opportunity to make a tangible impact by enhancing online transaction security and trust.

Equal Opportunity

Oscilar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, or any other protected status. We believe that diverse teams drive innovation and are essential to our success in shaping the future of trust in the age of AI.