SentiLink
Data Science Manager
United States · Senior
No sponsorship$210k-$260kDetected 121 days ago
PythonFull-Stack DevelopmentPostgreSQLRedshiftAWSMachine LearningData ScienceA/B TestingResearchLeadershipCommunicationCollaborationCritical Thinking
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- SentiLink https://www.sentilink.com/ stops more than 150,000 fraud attempts and verifies more than 3 million identities every day to protect both institutions and consumers.
- 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
- Directly manage a team of highly skilled data scientists. Start from 2-3 and grow to 5-6.
- Lead planning, resourcing and communications with senior leadership, product and engineering teams.
- Develop strong business intuition and guide your team to deliver performant DS solutions on aggressive timelines.
- Develop and maintain
- 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.
- 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
- 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.
- Proven track record of solving complex / high profile business problems with DS / ML solutions.
- Experience in communicating outcomes / progress to senior management / stakeholders.
- 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.
- Candidates must be legally authorized to work in the United States and must live in the United States.
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.
Skills
- Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
- Act as a technical mentor that can dive deep and provide detailed direction.
- Technologies:
Compensation
- $210,000-$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!
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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