Data Science Manager - Application Fraud
$210,000–$260,000 year
RemoteUnited States or India
Job Summary
Data Science Manager for Application Fraud at SentiLink leads and grows a team of data scientists building fraud detection and identity-verification models, guiding end-to-end model development from data acquisition to production deployment, while collaborating with senior leadership, product, and engineering. The role demands technical leadership, mentorship, strong communication, and a track record solving complex business problems with DS/ML solutions. Technologies include Python 3, PostgreSQL, and AWS (EC2, S3, RDS, Redshift, etc.). Responsibilities include scaling the team from 2-3 to 5-6, shaping strategy and planning, delivering production-ready code for real-time decision-making, and driving research and feature engineering to advance fraud-detection products.
Required Qualifications
- 10+ years relevant work experience & relevant Masters or 7+ years & relevant PhD.
- 2-5 years experience directly managing a team of data scientists, ideally in a startup environment.
- 3+ years of startup experience.
- Excellent communicator and team player.
- Proven track record of solving complex / high profile business problems with DS / ML solutions.
- Experience in communicating outcomes / progress to senior management / stakeholders.
- Very strong in “end to end” DS development: Planning, fleshing out success criteria / metrics, getting buy-in, developing the solution, delivering the solution (prod / deck / strategy doc / etc).
- Strong practical ML / Stats knowledge, i.e. can easily employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed. Experience with SOTA ML solutions is a plus.
- Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is.
- Experience writing production code and tests.
- Detail oriented and thoughtful—someone we can rely on to make business-changing decisions.
- Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems.
- Bonus for familiarity with: identity solutions, fintech, or adjacent industries.
- Candidates must be legally authorized to work in the United States and must live in the United States.
Desired Qualifications
- 10+ years relevant work experience & relevant Masters or 7+ years & relevant PhD
- 2-5 years experience directly managing a team of data scientists, ideally in a startup environment
- 3+ years of startup experience
- Excellent communicator and team player
- Proven track record of solving complex / high profile business problems with DS / ML solutions
- Experience in communicating outcomes / progress to senior management / stakeholders
- Very strong in “end to end” DS development: Planning, fleshing out success criteria / metrics, getting buy-in, developing the solution, delivering the solution (prod / deck / strategy doc / etc)
- Strong practical ML / Stats knowledge, i.e. can easily employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed. Experience with SOTA ML solutions is a plus
- Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is
- Experience writing production code and tests
- Detail oriented and thoughtful—someone we can rely on to make business-changing decisions
- Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems
- Bonus for familiarity with: identity solutions, fintech, or adjacent industries
- Candidates must be legally authorized to work in the United States and must live in the United States
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