Senior Data Science Manager at mercury

**Who this is for** This role is for a seasoned Data Science Manager who wants to lead a team focused on powering revenue and product value at a fast-growing fi

Work type: remote

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

Salary: $239,000 – $298,800/yr

Type: Full-time

Summary

**Who this is for** This role is for a seasoned Data Science Manager who wants to lead a team focused on powering revenue and product value at a fast-growing fintech company. You'll guide strategic decision-making through rigorous data analysis and experimentation. **Key highlights** You will lead a team of Data Scientists embedded across go-to-market, growth, and product functions. This role involves defining measurement and experimentation strategies, elevating analytical craft, and partnering closely with cross-functional leaders to drive revenue outcomes. **You might be a good fit if you...** - Have 10+ years of experience, with at least 3 years leading high-performing data teams. - Possess deep expertise in growth, monetization, and product analytics, with a proven track record of influencing roadmaps and revenue. - Are highly fluent in experimentation design, attribution, and causal inference, with a passion for elevating analytical rigor. - Can build scalable analytics frameworks and self-serve capabilities to empower AI-driven insights.

Job Description

In 1923, Claude Hopkins published Scientific Advertising, introducing early ideas around experimentation, attribution, and measurable decision-making. Behind the book was a team that meticulously designed, executed, and measured campaigns — setting the foundation for modern, data-driven growth.

At Mercury, that mindset extends beyond marketing. It spans how we acquire customers, how we activate and convert them, and how we design product experiences that drive long-term value.

We’re looking for a Senior Data Science Manager to lead the data science powering Mercury’s revenue and product value engine. This team supports Go-To-Market functions across Finance, Marketing, and Sales, drives growth product experimentation across activation and conversion, and partners on core product experiences like Spend, Expense Management, and Invoicing.

In this role, you’ll define how we measure performance, prioritize investments, and accelerate value creation across the customer lifecycle — with a high bar for rigor and a bias toward execution. You’ll partner closely with Product, Engineering, Marketing, Sales, and Finance to ensure our most important decisions are grounded in trusted data and clear experimentation frameworks.

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

Lead and develop a team of Data Scientists embedded across go-to-market, growth product, monetization, and core product experiences

Define the measurement and experimentation strategy across the customer lifecycle — from acquisition and activation to monetization, expansion, and retention — ensuring our investments are grounded in rigorous analysis and trusted data

Elevate the craft of experimentation, pricing and monetization analytics, and commercial performance measurement, balancing analytical precision with decision velocity

Partner closely with Product, Marketing, Sales, and Finance to shape roadmaps, evaluate ROI, and guide revenue forecasting and capital allocation decisions

Translate complex quantitative signals into clear insights that influence product direction and revenue strategy

Increase team leverage by building scalable analytics systems and self-serve capabilities that power reliable, AI-enabled insights across growth, monetization, and core product experiences

Operate effectively in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact

You should:

Have 10+ years of experience, with 3+ years leading high-performing data teams

Bring deep experience in growth, monetization, and product analytics, along with a proven track record of partnering with Product, Marketing, Sales, and Finance to shape roadmaps and drive revenue outcomes

Demonstrate strong business judgment, with the ability to balance analytical rigor with decision velocity in high-impact commercial environments

Be highly fluent in experimentation design, attribution, and causal inference, with the ability to raise the bar on analytical craft across a team of senior ICs

Have experience building scalable analytics frameworks and self-serve capabilities that increase leverage and support AI-enabled insight generation within growth and product domains

Thrive in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact

If this role interests you, we invite you to explore our public demo at [personal-demo.mercury.com](https://personal-demo.mercury.com).

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 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): $239,000 - $298,800

Canadian employees (any location): CAD 225,900 - 282,400

*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.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using [Covey Scout for Inbound ](https://getcovey.com/product/covey-scout-inbound)on January 22, 2024.

[[Please see the independent bias audit report covering our use of Covey for more information.]](https://getcovey.com/nyc-local-law-144)

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