Data Science Manager

Job not on LinkedIn

July 30

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Logo of SentiLink

SentiLink

Security • Fintech • Finance

SentiLink is a company that partners with leading financial institutions to tackle identity theft and fraud at the point of application. Their solutions incorporate expert analysis and machine learning models to identify and manage fraud effectively. SentiLink targets various types of fraud including synthetic, identity theft, and first-party fraud, and provides flexible integration options such as APIs to suit diverse customer needs. With a focus on data security and a customer-centric approach, SentiLink delivers real-time insights and solutions to financial institutions and fintech companies, enhancing their ability to approve legitimate customers while minimizing fraud.

51 - 200 employees

Founded 2017

🔐 Security

💳 Fintech

💸 Finance

💰 $70M Series B on 2021-08

📋 Description

• As a Data Science Manager at SentiLink, you will directly manage a team of talented data scientists that build our suite of products: models that identify fraudsters and also advance our growing suite of products in financial risk. • Utilize your abilities as a strong data scientist to mentor your team, probe their understanding and challenge them to do their best work. • Your team will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. • This role requires managing full-stack data scientists, whose work involves model development, analysis, and writing production code. • Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.

🎯 Requirements

• 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

🏖️ Benefits

• Employer paid group health insurance for you and your dependents • 401(k) plan with employer match (or equivalent for non US-based roles) • Flexible paid time off • Regular company-wide in-person events • Home office stipend, and more!

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