Data Scientist
SardineFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The total rewards package includes base salary, equity (stock options), and benefits, with salary and equity ranges that are highly competitive within the SaaS and fintech industry.
This information is not specified in the job description.
Required skills include 5+ years analyzing large datasets, proficiency in SQL for imperfect data, proficiency in Python with statistical modeling and machine learning, and experience deploying and monitoring ML models in production.
Mercury offers a fast-paced environment with evolving priorities, emphasizing collaboration across product, engineering, risk, and other teams to protect customers while delivering seamless experiences.
Strong candidates have 5+ years with large datasets and domain experience, proficiency in SQL and Python for ML, production ML deployment experience, and the ability to handle both high-leverage projects and foundational work in a fast-paced setting.
Banking services for startups and founders
Mercury provides banking services specifically designed for startups, regardless of their size or stage of development. Their offerings include free checking and savings accounts, debit and credit cards, and options for domestic and international wire transfers, as well as treasury and venture debt services. The platform is user-friendly, allowing founders to manage their finances with ease. What sets Mercury apart from traditional banks is its focus on the startup community, offering programs that connect founders with valuable resources and advice to help them succeed. The goal of Mercury is to empower startups by providing them with the financial tools and support they need to grow and thrive.