In the 1840s, Charles Babbage and Ada Lovelace worked on an early version of the computer known as the “Analytics Engine”. In the words of computing historian Doron Swade, “What Lovelace saw...was that numbers could represent entities other than quantity” and together they laid the foundation for general-purpose computing.

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:

• Build, manage, and develop a team of 5-7 data scientists to help Mercury make better business banking* and product decisions informed by data.
• Influence analytics culture and rigor across our Core Products (dashboard, cards, etc) by working with different levels, from executives to individual product and operations teams, ranging from deriving insights of our core products to advanced statistical methods for risk and credit underwriting.

You should:

• Have 4+ years of experience in a quantitative role, including 1+ years managing a team of quantitative experts (e.g. data scientists, product analysts, machine learning engineers, or financial mathematicians).
• Be able to partner with business leaders and GMs to ensure that they and their teams have the tools, reporting and support to consistently make the best data-informed decisions. Proactively provide advanced analytics and insights to leaders that stakeholders may not be seeing.
• Be opinionated on the ways to most effectively use data to make business and product decisions.
• Strong knowledge and hands-on experience with data science, machine learning, statistics, financial calculations, or experimentation for commercial applications.

The total rewards package at Mercury includes base salary, equity (stock options), 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 job 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): $205,000–$250,000 USD.
• Canadian employees (any location): CAD 182,000-228,000.

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