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Role Description

As a Staff Applied ML Scientist at SentiLink, you will build our core products: models that identify fraudsters and advance our growing suite of products in financial risk. You will:

• Be technically capable and the definitive owner of your respective domain.
• Work on projects with high visibility and impact that require deep domain understanding, critical thinking, and strong technical abilities.
• Collaborate with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing.
• Engage in a full-stack data science role, involving model development, analysis, and writing production code.
• Have end-to-end ownership in a fast-moving environment where deep domain understanding drives development.

We have open roles on multiple teams including:

• Emerging Products: focuses on 0-to-1 development of new offerings brought to market.
• Application Fraud: analyzes the foundational elements of consumer financial applications to detect all forms of fraud.
• Identity: resolves identities across massive, often conflicting data sources (both digital and physical) and generates risk models from limited information.

Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)

Responsibilities:

• Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
• Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
• Research new types of fraud and develop new SentiLink products around identity verification.
• Achieve success by researching / developing through iteration, integration of new data sources, and inventive feature engineering.
• Write production-ready code for real-time decision making by our partners.
• Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
• Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access.

Qualifications

• 6+ years relevant work experience & relevant PhD or 8+ years & relevant Masters.
• 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.
• Strong practical ML / Stats knowledge.
• Interest in developing deep domain expertise for product-focused work.
• Experience writing production code and tests.
• Detail oriented and thoughtful.
• Bonus for familiarity with identity solutions, fintech, or adjacent industries.
• Experience working at a startup strongly preferred.
• Thrive in a fast-paced environment characterized by the need to solve extremely varied, high impact, open-ended problems.
• Candidates must be legally authorized to work in the United States and must live in the United States.

Requirements

• Salary Range: $200,000/year - $240,000/year + equity + benefits.

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!

Corporate Values

• Follow Through
• Deep Understanding
• Whatever It Takes
• Do Something Smart