Data Scientist Jobs at SentiLink with Visa Sponsorship
SentiLink builds identity and fraud intelligence infrastructure, so Data Scientist roles here sit at the intersection of machine learning, financial data, and real-world risk modeling. The company has sponsored visa candidates for this function across multiple categories, making it a realistic target for international applicants with strong quantitative backgrounds.
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Get Access To All JobsINTRODUCTION
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transaction with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 list every year since 2023. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
ROLE
As a Staff Data Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. As an experienced researcher you will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies.
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: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
- 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.
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
- 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
- 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.
SALARY RANGE
- $200,000/year - $240,000/year + equity + benefits
PERKS
- 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
INTRODUCTION
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transaction with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 list every year since 2023. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
ROLE
As a Staff Data Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. As an experienced researcher you will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies.
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: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
- 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.
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
- 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
- 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.
SALARY RANGE
- $200,000/year - $240,000/year + equity + benefits
PERKS
- 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
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Get Access To All JobsTips for Finding Data Scientist Jobs at SentiLink Jobs
Frame your portfolio around fraud detection models
SentiLink's core product is identity fraud intelligence, so Data Scientist candidates who surface anomaly detection, synthetic identity research, or credit risk modeling projects in their portfolio signal direct relevance to the team's actual technical problems.
Request sponsorship confirmation before the offer stage
Raise visa sponsorship during the recruiter screen, not after you've completed technical rounds. For a Data Scientist role at a specialized fraud intelligence company, confirming the company will file for your specific category early avoids late-stage friction.
Use Migrate Mate to surface active openings
SentiLink's Data Scientist roles aren't always listed with sponsorship details on general job boards. Search Migrate Mate to filter specifically for this role and company, so you're applying to positions where sponsorship has been confirmed for international candidates.
Demonstrate SQL and Python fluency before the screen
SentiLink's Data Scientist interviews consistently emphasize applied statistics and production-grade code. Candidates who can discuss model explainability, feature engineering on behavioral signals, and A/B testing methodology move faster through technical screens than those with academic credentials alone.
Data Scientist at SentiLink jobs are hiring across the US. Find yours.
Find Data Scientist at SentiLink JobsFrequently Asked Questions
Does SentiLink sponsor H-1B visas for Data Scientists?
SentiLink's documented sponsorship activity for Data Scientist roles covers EB-2, EB-3, F-1 OPT, and TN visas. H-1B sponsorship is not reflected in their recent filings for this specific role, so if you're relying on H-1B cap sponsorship, confirm directly with their recruiting team before advancing through the interview process.
How do I apply for Data Scientist jobs at SentiLink?
Applications go through SentiLink's careers page, but not all listings include visa sponsorship details. Migrate Mate lets you filter Data Scientist openings at SentiLink specifically for international candidates, so you can identify roles where sponsorship is active before investing time in the process. Expect a recruiter screen, a technical assessment, and multiple technical and cross-functional interviews.
Which visa types are commonly used for Data Scientist roles at SentiLink?
SentiLink has sponsored Data Scientists through F-1 OPT, TN, EB-2, and EB-3 pathways. F-1 OPT and TN work well for near-term employment authorization, while EB-2 and EB-3 are employer-sponsored immigrant visa routes that require a PERM labor certification filed with the DOL before USCIS adjudicates the petition.
What qualifications does SentiLink expect for Data Scientist candidates?
SentiLink builds fraud and identity intelligence products, so the baseline expectation is a degree in statistics, computer science, mathematics, or a related quantitative field, paired with hands-on experience in machine learning and large-scale data analysis. Familiarity with behavioral data modeling, fraud signals, or financial risk scoring strengthens an application significantly beyond the degree alone.
How do I estimate the timeline from offer to work authorization at SentiLink?
Timeline depends on your visa type. F-1 OPT authorization can be in place at start date if your EAD card is already valid. TN status for Canadian and Mexican nationals can be granted at a port of entry on day one. EB-2 and EB-3 green card paths involve DOL PERM processing, which typically runs six to twelve months, followed by USCIS petition adjudication.
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