Staff Data Scientist

Support the reproducibility and robustness of said models through documentation, testing, and monitoring

Ensure data quality and reliability across pipelines and tools. Collaborate with Risk Strategy to ideate on model inputs and applications and with Engineering optimize deployment and observability.

Act as a technical lead prototyping, iterating on, and codifying best practices - and bringing the rest of the team along

7+ years of experience working with and analyzing large datasets to solve problems and drive impact, with 5+ years of ML experience

Proficiency in SQL and experience using it to understand and manage imperfect data

Proficiency in Python and experience with statistical modeling and machine learning

Experience deploying and monitoring machine learning models in production

Comfort working in a fast-paced environment with evolving priorities

Demonstrated ability to lead and empower others, delivering not just on your own work, but upleveling those around you

The ability to drive strategic alignment between teams with differing roadmaps, timelines, or architectures

1+ years of relevant risk experience

Familiarity with LLMs or other GenAI and how they can be applied to risk or fraud detection

Experience with modern data tools for pipelines and ETL (e.g., dbt)

Experience with model governance as required in finance or other regulated industries

Experience building zero-to-one solutions in ambiguous or greenfield problem spaces

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

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Total Rewards The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following :