Mercury Aircraft

14 Mercury Data Scientist Jobs Hiring Near You

Senior Data Scientist

San Francisco, CA · On-site +1

$166K - $250K/yr

While Mercury's cosmic journey may be more metaphorical, we have our own sky-high ambitions and the ... To that end, we are hiring a Machine Learning-focused Data Scientist to support our Risk team. This ...

Staff Data Scientist

San Francisco, CA · On-site +1

$239K - $298K/yr

While Mercury's cosmic journey may be more metaphorical, we have our own sky-high ambitions and the ... To that end, we are hiring a Machine Learning-focused Data Scientist to support our Risk team. This ...

Senior Full-Stack Engineer

San Francisco, CA · On-site +1

$166K - $208K/yr

... of controlling an aircraft into a more graceful and manageable endeavor. At Mercury, we are ... data for our industry. New hire offers are made based on a candidate's experience, expertise ...

Bachelor's Science degree or higher in a STEM (Science, Technology, Engineering, Math) discipline ... From silicon to system scale, Mercury enables customers to accelerate innovation and turn data into ...

Software Engineer - Product

San Francisco, CA · On-site +1

$122K - $158K/yr

... of controlling an aircraft into a more graceful and manageable endeavor. At Mercury, we are ... data for our industry. New hire offers are made based on a candidate's experience, expertise ...

Mercury Systems is seeking a Test Engineer III to lead test efforts in our data processing and ... Typically requires a bachelor's degree in electrical engineering, computer science, manufacturing ...

... materials science or related discipline. * Typically requires a minimum of 4 years of relevant ... From silicon to system scale, Mercury enables customers to accelerate innovation and turn data into ...

Mercury Aircraft Jobs Information

What is it like to work at Mercury?

Mercury is a technology-driven company that values innovation, collaboration, and a fast-paced work environment. The company's team structure is designed to foster a sense of community, with employees working closely together across various departments to drive mission success, and its offices often feature open layouts and modern amenities. Working at Mercury may appeal to candidates who are passionate about technology and problem-solving, as the company offers opportunities to work on cutting-edge projects and contribute to its mission of advancing the field of technology.

What makes Mercury an attractive place to work?

Mercury is a well-established and respected company in its industry, known for its commitment to innovation and customer satisfaction. The company's workplace culture values collaboration, flexibility, and continuous learning, providing employees with opportunities to grow professionally and contribute to meaningful projects. Joining Mercury offers the chance to be part of a dynamic team that drives progress and innovation, with opportunities for career advancement and personal development in a fast-paced and challenging environment.

Senior Data Scientist

Mercury

San Francisco, CA • On-site, Remote

$166K - $250K/yr

Full-time

Posted 5 days ago


Job description

In 1999, NASA lost contact with its Mars Climate Orbiter after a 9-month journey from Earth. It began its planned orbital insertion maneuver but went out of radio contact after passing behind Mars. While we may never know whether it was destroyed in the atmosphere or re-entered heliocentric space, we can draw the lesson that getting the details (in this case, units) 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.
This is an opportunity to join Mercury at a pivotal moment in our growth. You'll be working on some of the most critical challenges facing the business and collaborating across product, engineering, and risk to protect our customers and the financial system at large.
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
You should have:
  • 5+ years of experience working with and analyzing large datasets to solve problems and drive impact, with 3+ 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
Ideally you also have:
  • 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:
US employees (any location):
$166,600-$250,900 USD
Canadian employees (any location):
$157,400-$237,100 CAD