Description:

SentiLink is seeking a Model Risk Data Scientist for a remote position based in the USA.
The role involves building foundational processes for generating and surfacing model performance metrics, including crafting and calculating the metrics and building Python rails.
The candidate will primarily work within a Python ecosystem, utilizing SQL, SageMaker, S3, Metabase, and Git to support their tasks.
Responsibilities include acting as a point of contact for Strategic Financial Partners, managing their model governance needs, and generating model risk reports and metrics.
The role also requires creating automation to detect inconsistencies or issues with production models that power fraud detection products, including data-driven gap analysis and anomaly detection.

Requirements:

A Bachelor’s, Master’s, or PhD in Data Science, Statistics, Computer Science, or a related field is required.
Candidates should have 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 is essential.
Strong proficiency in Python, particularly with data analysis libraries (Pandas, Numpy), data visualization (Python matplotlib plots, Excel plots/BI tools), and SQL is required.
The ability to interpret and communicate complex data insights to both technical and business audiences is necessary.
Exceptional problem-solving and analytical skills with a focus on actionable results are expected.
An interest in developing deep domain expertise for model risk analysis and model governance work is important.
Candidates must thrive in a fast-paced environment characterized by the need to solve varied, high-impact, open-ended problems.
Proven experience in assessing the quality, stability, performance, and behavior of production-grade ML models, ideally from the perspective of model governance, fair lending, or economic risk is highly preferred.
Familiarity with fraud detection is preferred.
Experience with GitHub is required.
Candidates must be legally authorized to work in the United States and must reside in the United States.

The position offers a salary range of $110,000/year to $140,000/year, along with equity and benefits.
Employer-paid group health insurance is provided for the employee and their dependents.
A 401(k) plan with employer match (or equivalent for non US-based roles) is included.
Flexible paid time off is offered to employees.
Regular company-wide in-person events are part of the benefits.
A home office stipend is provided, among other perks.