Data Contributor Jobs at SentiLink with Visa Sponsorship
SentiLink builds identity verification infrastructure for financial institutions, and Data Contributor roles sit at the core of that work. The company has an established track record of sponsoring international talent in data-focused positions, supporting candidates across multiple visa pathways including employment-based Green Cards and OPT.
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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 Contributor Jobs at SentiLink Jobs
Align your portfolio to identity data
SentiLink's Data Contributor roles center on synthetic identity fraud and credit risk datasets. Structure your portfolio around data labeling, annotation quality, or ground-truth validation projects so your work speaks directly to their product domain before you apply.
Ask about PERM timing during the offer stage
If you're targeting a Green Card pathway through SentiLink, ask your recruiter whether the Data Contributor role has been used for PERM-based EB-2 or EB-3 filings. DOL's PERM process can take 12 to 18 months, so understanding their internal timeline early protects your long-term planning.
Target roles that match your credential tier
SentiLink's sponsorship history for this function includes both EB-2 and EB-3 classifications. An EB-2 petition requires a master's degree or bachelor's plus progressive experience, while EB-3 covers bachelor's-level candidates. Match your application to the classification your credentials actually support.
Use Migrate Mate to surface open Data Contributor roles
SentiLink's Data Contributor openings are sponsorship-verified and tracked on Migrate Mate. Search by visa type to filter for roles that match your authorization status, so you're only spending time on positions that are actively hiring international candidates.
Prepare for a TN qualification review if Canadian or Mexican
SentiLink sponsors TN visas, and Data Contributor roles can qualify under NAFTA's computer systems analyst or statistician categories depending on your exact duties. Have your offer letter specify your job functions precisely so the TN classification holds up at the port of entry.
Data Contributor at SentiLink jobs are hiring across the US. Find yours.
Find Data Contributor at SentiLink JobsFrequently Asked Questions
Does SentiLink sponsor H-1B visas for Data Contributors?
SentiLink's publicly documented sponsorship activity for Data Contributor roles focuses on employment-based Green Card pathways (EB-2 and EB-3) and F-1 OPT, along with TN visas. H-1B sponsorship is not prominently reflected in their filing history for this specific function. If H-1B is your required pathway, confirm directly with their recruiting team during the interview process.
How do I apply for Data Contributor jobs at SentiLink?
You can browse open Data Contributor positions at SentiLink on Migrate Mate, which filters for roles with active visa sponsorship. When applying, tailor your resume to highlight data labeling, fraud dataset experience, or annotation work relevant to financial identity verification. SentiLink typically uses a structured interview process involving a skills screen and a practical data task.
Which visa types are commonly used for Data Contributor roles at SentiLink?
SentiLink has sponsored Data Contributors through F-1 OPT, TN visas for Canadian and Mexican nationals, and employment-based Green Cards under the EB-2 and EB-3 classifications. F-1 OPT is often the entry point for recent graduates, while EB-2 and EB-3 PERM filings support longer-term employment. TN eligibility depends on your specific job duties mapping to an approved USMCA category.
What qualifications does SentiLink expect for Data Contributor roles?
SentiLink's Data Contributor positions typically require a background in data annotation, data quality assurance, or structured dataset management, often within fintech or identity verification contexts. A bachelor's degree in a quantitative or technical field strengthens your application, particularly for EB-2 or EB-3 sponsorship pathways that require DOL to verify your minimum qualifications through the PERM process.
How do I think about visa sponsorship timelines when targeting SentiLink?
If you're on F-1 OPT, your 12-month standard period (or 24-month STEM extension) defines your working window at SentiLink. For Green Card sponsorship via PERM, DOL processing alone can run 12 to 18 months before USCIS sees the petition. Aligning your expected employment start date and authorization runway with these timelines in your first recruiter conversation prevents avoidable gaps later.
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