Oscilar

About Oscilar

AI-powered risk management for smarter decisions

🏒 Finance, TechπŸ‘₯ 51-250πŸ“… Founded 2021πŸ“ Palo Alto, California, United States

Key Highlights

  • Headquartered in Palo Alto, California
  • Specializes in AI risk decisioning and fraud prevention
  • Supports businesses with onboarding and compliance monitoring
  • Team size of 51-250 employees

Oscilar is an AI-driven risk decisioning platform headquartered in Palo Alto, California. The company specializes in streamlining risk management workflows for businesses by integrating onboarding, fraud prevention, credit assessment, and compliance monitoring into a single system. With a focus on m...

🎁 Benefits

Employees enjoy competitive salaries, equity options, flexible PTO, and a remote work policy that supports work-life balance. Additional benefits incl...

🌟 Culture

Oscilar fosters a culture of innovation and adaptability, emphasizing the importance of leveraging AI to stay ahead of evolving threats. The company v...

Oscilar

Data Scientist β€’ Senior

Oscilar β€’ Remote - Remote

Apply Now β†’

Overview

Oscilar is hiring a Senior/Staff Data Scientist to develop advanced fraud detection models using machine learning and statistical techniques. You'll collaborate with cross-functional teams to enhance fraud detection systems and analyze large data sets. This role requires significant experience in data science and machine learning.

Job Description

Who you are

You have a strong background in data science with a focus on machine learning and statistical techniques β€” your experience includes developing and implementing models that effectively identify and prevent fraudulent activities. You thrive in collaborative environments, working alongside engineering, product, and operations teams to design robust fraud detection systems. Your analytical skills allow you to sift through large volumes of data, identifying patterns and anomalies that inform data-driven insights.

You are passionate about making the digital world safer and understand the complexities of fraud detection in the age of AI. Your ability to communicate complex ideas clearly and effectively enables you to work well with cross-functional teams, ensuring that fraud detection processes are seamlessly integrated into the overall platform. You are committed to continuous learning and professional development, eager to stay at the forefront of advancements in AI and machine learning.

Desirable

Experience with AI Risk Decisioningβ„’ platforms or similar technologies would be a plus. Familiarity with banking, fintech, or compliance risk management can enhance your contributions to the team.

What you'll do

As a Senior/Staff Data Scientist at Oscilar, you will take ownership of developing advanced fraud detection models that leverage machine learning and statistical techniques. Your role will involve collaborating with various teams to design and implement effective fraud detection systems and processes. You will analyze large datasets to uncover trends and anomalies indicative of fraudulent behavior, translating your findings into actionable insights that improve our platform's security.

You will also play a key role in building out our machine learning stack, ensuring that our models are not only effective but also scalable and maintainable. Your contributions will directly impact how modern finance detects fraud and manages risk, making a significant difference in the safety of online transactions. You will be empowered to make decisions that drive our mission forward, working in a family-friendly environment that values innovation and teamwork.

What we offer

At Oscilar, you will join a mission-driven team of industry veterans from leading companies, united by the goal of making the digital world safer. We offer an unlimited PTO policy, ensuring you have the flexibility to recharge and maintain a healthy work-life balance. Our culture emphasizes family-friendly values, with regular team events and offsites that foster collaboration and camaraderie.

You will have unparalleled learning and professional development opportunities, allowing you to grow your skills and advance your career in a supportive environment. Join us in shaping the future of trust in the age of AI, and make a meaningful impact on how organizations manage fraud, credit, and compliance risk.

Interested in this role?

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