Staff Data Scientist

In 1999 NASA lost contact with its Mars Climate Orbiter after a 9 month journey from Earth. We can draw the lesson that getting the details right is critical, especially when shooting for the stars.

While Mercury's cosmic journey may be more metaphorical, we have our own sky-high ambitions and the need to marry those with precise data analysis.

To that end, we are hiring a Machine Learning-focused Data Scientist to support our Risk team. This team is responsible not only for detecting, monitoring, and mitigating both first- and third-party fraud but also ensuring we know and understand our customers while monitoring their behavior for financial crime risk. You'll play a key role in strengthening our fraud defenses while ensuring that Mercury continues to deliver a smooth and trustworthy banking\* experience.

Here are some things you'll do on the job:

Build, validate, and deploy machine learning models to identify and prevent fraud in real time.

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

You should have:

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

Role location: San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States.

Target new hire base salary ranges: US employees (any location): $239,000 - $298,800 USD. Canadian employees (any location): $225,900 - $282,400 CAD.

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

• 7+ years analyzing large datasets, 5+ years in machine learning
• Proficiency in SQL and Python for data management and modeling
• Experience deploying and monitoring ML models in production, leadership skills