Staff Data Scientist, Full Stack

SentiLink

Seattle (WA)

Hybrid

USD 200,000 - 240,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Employer paid group health insurance

401(k) plan with employer match

Flexible paid time off

Regular company‑wide in‑person events

Home office stipend

Job summary

A leading tech firm in Seattle is seeking a Staff Data Scientist to build and maintain fraud detection models. This role involves end-to-end ownership in a fast-paced environment, focusing on developing solutions for identity verification and financial risk. Candidates should have strong data science and machine learning skills, a proven track record of innovative problem-solving, and the ability to work collaboratively across teams. Excellent communication skills and a background in a tech startup are preferred.

Qualifications

6+ years relevant work experience & relevant PhD or 8+ years relevant Masters.
Proven track record of solving complex business problems with DS/ML solutions.
Experience writing production code and tests.

Responsibilities

Develop and maintain fraud detection models.
Build modeling for Fraud and Financial Risk products.
Research new types of fraud and develop products.

Skills

Data Science

Machine Learning

Statistical Analysis

Python

Communication

Problem Solving

Education

PhD in a relevant field

Master's degree in a relevant field

Tools

Python 3

PostgreSQL

AWS

Job description

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