SentiLink
Model Risk Data Scientist at SentiLink
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 list every year since 2023. 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, with physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, Chicago, Gurugram (Delhi), and Bengaluru. This is a remote, US‑based role.
Responsibilities
Build foundational processes for generating and surfacing model performance metrics, including crafting and calculating metrics and building Python rails.
Act as point of contact for Strategic Financial Partners and manage their model governance needs. Conduct performance and exploratory analyses to establish the quality of model outcomes.
Provide guidance on the appropriate use of our products, respond to inquiries around model development procedures, and generate stability analyses.
Create automation to detect inconsistencies or issues with production models powering our fraud detection products, such as data‑driven gap analysis and anomaly detection.
Primarily work with a Python ecosystem, using SQL, SageMaker, S3, Metabase, and Git to support operations.
Requirements
Bachelor’s, Master’s, or PhD in Data Science, Statistics, Computer Science, or a related field.
3 years of work experience in a related technical field, or 5–7 years of relevant applied academic experience.
Proven experience in data analysis, modeling, and performance evaluation.
Strong proficiency in Python (Pandas, NumPy) and SQL.
Ability to interpret and communicate complex data insights to technical and business audiences.
Exceptional problem‑solving and analytical skills with a focus on actionable results.
Interest in deep domain expertise for model risk analysis and governance work.
Ability to thrive in a fast‑paced environment characterized by high‑impact, open‑ended problems.
Proven experience assessing the quality, stability, performance, and behavior of production‑grade ML models, preferably from a governance, fair‑lending, or economic‑risk perspective.
Familiarity with fraud detection preferred.
Experience with GitHub.
Candidacy requires legal authorization to work in the United States and residence in the United States.
Technologies
Python, Pandas, NumPy, matplotlib, BI tools, SQL.
Salary
$140,000/year – $180,000/year plus equity and 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
Seniority level Mid‑Senior level
Employment type Full‑time
Job function General Business, Management, and Business Development
Industries Software Development
Referrals Referrals increase your chances of interviewing at SentiLink by 2×.
#J-18808-Ljbffr
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 list every year since 2023. 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, with physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, Chicago, Gurugram (Delhi), and Bengaluru. This is a remote, US‑based role.
Responsibilities
Build foundational processes for generating and surfacing model performance metrics, including crafting and calculating metrics and building Python rails.
Act as point of contact for Strategic Financial Partners and manage their model governance needs. Conduct performance and exploratory analyses to establish the quality of model outcomes.
Provide guidance on the appropriate use of our products, respond to inquiries around model development procedures, and generate stability analyses.
Create automation to detect inconsistencies or issues with production models powering our fraud detection products, such as data‑driven gap analysis and anomaly detection.
Primarily work with a Python ecosystem, using SQL, SageMaker, S3, Metabase, and Git to support operations.
Requirements
Bachelor’s, Master’s, or PhD in Data Science, Statistics, Computer Science, or a related field.
3 years of work experience in a related technical field, or 5–7 years of relevant applied academic experience.
Proven experience in data analysis, modeling, and performance evaluation.
Strong proficiency in Python (Pandas, NumPy) and SQL.
Ability to interpret and communicate complex data insights to technical and business audiences.
Exceptional problem‑solving and analytical skills with a focus on actionable results.
Interest in deep domain expertise for model risk analysis and governance work.
Ability to thrive in a fast‑paced environment characterized by high‑impact, open‑ended problems.
Proven experience assessing the quality, stability, performance, and behavior of production‑grade ML models, preferably from a governance, fair‑lending, or economic‑risk perspective.
Familiarity with fraud detection preferred.
Experience with GitHub.
Candidacy requires legal authorization to work in the United States and residence in the United States.
Technologies
Python, Pandas, NumPy, matplotlib, BI tools, SQL.
Salary
$140,000/year – $180,000/year plus equity and 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
Seniority level Mid‑Senior level
Employment type Full‑time
Job function General Business, Management, and Business Development
Industries Software Development
Referrals Referrals increase your chances of interviewing at SentiLink by 2×.
#J-18808-Ljbffr