Advanced Analytics, Data science techniques, Experimentation, Machine learning techniques, Quantitative models, Risk Analytics, Statistical modeling
We’re looking for a Data Science Manager who can help us build, support and develop the team building our analytics engine.
In this role, you’ll be responsible for a team of 5-7 data scientists embedded across product teams, and will critically influence how we invest in and build Mercury’s future.
You’ll be early in building a data-informed culture across Mercury so that stakeholders across the company can determine what's happening, react quickly, and invest intelligently.
Here are some things you’ll do on the job:
You should:
Our salary ranges are based on paying competitively for our size and industry, and all employees receive salary + equity + benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to peers at the company.
The range shared is for the expectations as laid out in the job description, however we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced or more senior than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.
The salary range for candidates in the US is $205,000–$250,000.
The salary range for candidates in Canada is CAD 182,000-228,000.
Mercury is a financial technology (fintech) company that provides digital banking solutions for startups and small businesses. Unlike traditional banks, Mercury's services are entirely digital and designed to be accessible and user-friendly for entrepreneurs. They offer a range of financial products, including checking and savings accounts, debit and credit cards, wire transfers, and other essential banking services.