Data Science Engineer Jobs at SentiLink with Visa Sponsorship
Data Science Engineer jobs at SentiLink involve working on predictive modeling, identity risk signals, and large-scale data pipelines for fraud detection infrastructure. The company has a track record of sponsoring work visas for this function, supporting candidates from application through filing.
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Get Access To All JobsINTRODUCTION
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact 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. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. 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 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. This role is designed for new PhD graduates or early-career researchers interested in applying machine learning to real-world fraud detection. You'll build and ship machine learning models in a production environment, gaining hands-on experience across the full ML lifecycle, from research and development to deployment at scale. If you're looking for real-world AI and ML exposure in an industry setting, not just research papers, this is it.
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
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. This role can be remote within the U.S., with a strong preference for candidates who can work from our Austin, San Francisco, or New York offices.
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
- Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research
- Strong foundation in machine learning, statistics, or applied data science
- Experience with Python and common data science tools through coursework, research, internships, or personal projects
- Demonstrated ability to analyze complex problems and build data-driven solutions
- Strong communication skills and ability to explain technical ideas clearly
- Interest in learning deeply about fraud, identity, and financial risk systems
- Ability to write clean, maintainable code
- Strong attention to detail and curiosity about real-world data problems
- Candidates must be legally authorized to work in the United States and must live in the United States
- Thrive in a fast-paced environment characterized by the need to solve extremely varied, high impact, open-ended problems
SALARY RANGE
$120,000/year - $220,000/year + equity + benefits
Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications.
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 transact 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. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. 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 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. This role is designed for new PhD graduates or early-career researchers interested in applying machine learning to real-world fraud detection. You'll build and ship machine learning models in a production environment, gaining hands-on experience across the full ML lifecycle, from research and development to deployment at scale. If you're looking for real-world AI and ML exposure in an industry setting, not just research papers, this is it.
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
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. This role can be remote within the U.S., with a strong preference for candidates who can work from our Austin, San Francisco, or New York offices.
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
- Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research
- Strong foundation in machine learning, statistics, or applied data science
- Experience with Python and common data science tools through coursework, research, internships, or personal projects
- Demonstrated ability to analyze complex problems and build data-driven solutions
- Strong communication skills and ability to explain technical ideas clearly
- Interest in learning deeply about fraud, identity, and financial risk systems
- Ability to write clean, maintainable code
- Strong attention to detail and curiosity about real-world data problems
- Candidates must be legally authorized to work in the United States and must live in the United States
- Thrive in a fast-paced environment characterized by the need to solve extremely varied, high impact, open-ended problems
SALARY RANGE
$120,000/year - $220,000/year + equity + benefits
Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications.
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
See all Data Science Engineer Jobs at SentiLink
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Engineer Jobs at SentiLink.
Get Access To All JobsTips for Finding Data Science Engineer Jobs at SentiLink
Frame Your Portfolio Around Fraud Detection
SentiLink's core product is identity fraud prevention, so highlight projects involving anomaly detection, classification models, or synthetic identity patterns. Reviewers will connect your work faster when it maps to their exact problem domain.
Clarify Your OPT or TN Timeline Early
If you're on F-1 OPT, confirm your STEM extension eligibility before your first recruiter call. SentiLink sponsors TN for Canadian and Mexican nationals, so bring your role-to-NAFTA-category alignment to the conversation rather than leaving it for the offer stage.
Distinguish EB-2 NIW From Employer-Sponsored EB-2
SentiLink sponsors EB-2 and EB-3 through the standard PERM labor certification process. If you're targeting a Green Card, understand that PERM-based EB-2 differs from a self-petitioned NIW and requires the employer to initiate the filing after a set tenure.
Target Open Roles Matching Your Modeling Stack
SentiLink posts a substantial number of Data Science Engineer openings at any given time. Filter by the technical requirements closest to your background, whether that's feature engineering, ML infrastructure, or real-time scoring systems, so your application lands in the right hiring queue.
Use Migrate Mate to Surface Sponsorship-Confirmed Roles
Not every Data Science Engineer posting explicitly states visa sponsorship. Use Migrate Mate to filter SentiLink's open roles by verified sponsorship history, so you're only spending time on positions where your visa situation is already a known fit.
Prepare for an I-129 Filing Gap Between Offer and Start
Once you accept an offer, your employer files Form I-129 with USCIS to initiate or transfer your H-1B status. Standard processing runs several months, so align your start date negotiation with realistic USCIS timelines rather than assuming immediate authorization.
Frequently Asked Questions
Does SentiLink sponsor H-1B visas for Data Science Engineers?
SentiLink's sponsorship activity for Data Science Engineers is concentrated in employment-based categories including EB-2 and EB-3, along with F-1 OPT and TN visa. While H-1B visa sponsorship is not prominently reflected in their recent filing history for this role, it's worth raising directly during the offer stage, as sponsorship policies can vary by position and hiring cycle.
Which visa types are commonly used for Data Science Engineer roles at SentiLink?
SentiLink has sponsored F-1 OPT candidates for Data Science Engineer roles, making it a viable entry point if you're a recent graduate with STEM OPT work authorization. TN status is an option for Canadian and Mexican nationals whose role qualifies under a covered NAFTA professional category. For longer-term permanent residency, SentiLink supports EB-2 and EB-3 petitions through the PERM process.
What qualifications and experience are expected for Data Science Engineer roles at SentiLink?
SentiLink's Data Science Engineer roles typically require strong foundations in machine learning, statistical modeling, and production-grade data pipelines. Given the company's focus on fraud detection, experience with classification systems, risk scoring, or anomaly detection is particularly relevant. A graduate degree in a quantitative field strengthens an EB-2 petition if that pathway becomes relevant later in your tenure.
How do I apply for Data Science Engineer jobs at SentiLink?
You can browse and apply for Data Science Engineer openings at SentiLink through Migrate Mate, which surfaces roles with verified sponsorship history so you can confirm your visa type is supported before applying. Tailor your application materials to SentiLink's fraud and identity intelligence focus, and be prepared to discuss your current work authorization status and any upcoming expiration dates during the screening call.
How do I time my application around visa filing deadlines at SentiLink?
Timing depends on your current status. F-1 OPT holders should apply with enough runway to complete interviews and receive an offer before their authorization expires, since USCIS processing for a status change or cap-gap extension adds weeks to any start date. TN renewals are generally handled at the port of entry and carry less lead time risk. For EB-2 or EB-3 PERM cases, expect the employer-initiated process to begin well after your hire date.