Data Science Manager – Application Fraud

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee a team of highly proficient data scientists, starting with 2-3 members and expanding to 5-6.

• Serve as a technical mentor, capable of providing in-depth guidance and direction.

• Lead the planning, resource allocation, and communication efforts with senior leadership, product, and engineering teams.

• Cultivate a strong business intuition to steer your team in delivering effective data science solutions within tight deadlines.

• Develop and sustain SentiLink’s fraud detection models throughout the entire model development lifecycle, from data acquisition decisions to featurization, prioritizing labeling resources, model training, experimentation, production implementation, and monitoring.

• Investigate new fraud types and create innovative SentiLink products centered around identity verification.

• Attain success by conducting research and development through iterative processes, integration of new data sources, and creative feature engineering.

• Produce production-ready code that can be trusted for real-time decision-making by our partners.

• Design, conduct, and present analyses that will shape data acquisition, product development, risk operations priorities, marketing, and sales initiatives.

⛳️ Requirements

• 10+ years of relevant work experience with a pertinent Master’s degree or 7+ years with a relevant PhD.

• 2-5 years of experience in directly managing a team of data scientists, preferably in a startup setting.

• 3+ years of experience in a startup environment.

• Exceptional communication skills and a collaborative team player.

• Proven ability to address complex and high-profile business challenges using data science and machine learning solutions.

• Experience in conveying outcomes and progress to senior management and stakeholders.

• Strong expertise in comprehensive data science development: Planning, defining success criteria/metrics, securing buy-in, developing and delivering solutions (production, presentations, strategy documentation, etc.).

• Solid practical knowledge of machine learning and statistics, capable of efficiently utilizing standard ML/stat tools to quickly outline solutions and delve deeper as necessary. Familiarity with state-of-the-art ML solutions is an advantage.

• A keen interest in developing deep domain knowledge for product-focused tasks; a background in fraud is not mandatory, but a willingness to learn is essential.

• Experience in writing production code and tests.

• Detail-oriented and thoughtful—someone we can count on to make impactful business decisions.

• Ability to thrive in a fast-paced environment, characterized by the need to tackle a wide range of high-impact, open-ended problems.

• Bonus points for familiarity with identity solutions, fintech, or related industries.

• Candidates must have the legal authorization to work in the United States and reside in the United States.

🏝️ Benefits

• Employer-sponsored group health insurance for you and your dependents.

• 401(k) plan with employer matching (or equivalent for roles outside the US).

• Flexible paid time off.

• Regular company-wide in-person events.

• Home office stipend, and more!