SentiLink
Staff Data Scientist, Full Stack
United States · Staff+
No sponsorshipDetected 224 days ago
PythonFull-Stack DevelopmentPostgreSQLRedshiftAWSMachine LearningData ScienceA/B TestingResearchLeadershipCollaborationCritical Thinking
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odds of building a lasting career here
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Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Each day, we verify more than 3 million identities, flagging 150k+ fraud attempts in the process.
- The problems we work on are challenging, and solving them takes deep domain expertise, rigorous analysis, and a willingness to dig into the details.
- At SentiLink, you'll work alongside smart, highly collaborative colleagues who respect each other's time and judgment, take ownership, and follow through on their commitments.
Responsibilities
- Develop and maintain
- 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 that can be relied on 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
- Develop and maintain SentiLink's fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
Requirements
- 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
- Experience writing production code and tests
- Candidates must be legally authorized to work in the United States and must live in the United States
- Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is
Nice to have
- 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
- Experience working at a startup strongly preferred
Skills
- Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
- 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
Compensation
- $220,000/year - $260,000/year + equity + benefits
Benefits
- Employer paid group health insurance for you and your dependents
- Flexible paid time off
- Home office stipend, and more!
Company info
- SentiLink https://www.sentilink.com/ helps institutions and protects customers by accurately resolving identities and flagging fraud risk.
Visa & Work Authorization
- Candidates must be legally authorized to work in the United States and must live in the United States
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