Senior Data Scientist - Banking

At Mercury, we're building the future of financial infrastructure for startups and growing businesses. We're looking for a full-stack Data Scientist to support our Cards & Credit roadmap, partnering closely with Product, Engineering, Design, Underwriting, and Operations to shape how our card and credit products evolve and scale.

In this role, you'll apply strong analytical judgment and product intuition to help us understand customer behavior, evaluate tradeoffs, and make smart investment decisions across the cards and lending lifecycles - from eligibility and activation to spend, retention, incentives, and credit performance. You'll help build a data-informed culture across Mercury so teams can move quickly, measure what matters, and invest intelligently.

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

• Bring impeccable communication and complete ownership - independently identifying opportunities, developing strong points of view, and influencing executives, Cards & Credit leaders, and cross-functional partners through clear, concise, and persuasive storytelling.
• Develop a nuanced understanding of cardholder behavior and economics, helping teams reason about tradeoffs between growth, engagement, risk, and unit economics.
• Define, own, and analyze metrics that inform both tactical decisions and long-term strategy across the cards and credit lifecycle (e.g., eligibility, activation, spend, utilization, rewards, retention, loss signals).
• Design and evaluate experiments using rigorous statistical approaches, including A/B testing, cohort analysis, causal inference techniques, and trend analysis.
• Build and improve data pipelines and tools to streamline data collection, processing, and analysis workflows, ensuring the integrity, reliability, and security of data assets.
• Build and deploy predictive models to forecast key outcomes, inform product treatments, and deepen understanding of causal drivers.

• Bring 7+ years of experience working with large datasets to drive product or business impact in data science or analytics roles.
• Be fluent in SQL and comfortable with python.
• Demonstrate strong judgment in defining and analyzing product metrics, running experiments, and translating ambiguous questions into structured analyses.
• Operate with exceptional proactivity and independence - identifying opportunities, forming strong points of view, and making your case to stakeholders.
• Be experienced with ETL processes and modern data modeling (e.g., dbt, dimensional models, airflow), with a solid understanding of how data is produced and consumed.
• Be experienced in analytical approaches ranging from behavioral modeling to experimentation to optimization - and, importantly, know when simpler approaches are the right answer.
• Apply AI tools to accelerate analytical and business workflows, improving scalability, decision quality, and reducing manual or repetitive work across teams.

Nice to have:

• Experience working on cards or credit products, with familiarity in card economics and lifecycle concepts (e.g., spend behavior, interchange, rewards and incentives, utilization, credit limits, retention).
• Experience developing quantitative pricing models or engines (e.g., dynamic pricing, incentive optimization, or marketplace pricing systems).
• Experience applying optimization techniques to resource allocation or decision systems (e.g., customer operations, capacity planning, or policy optimization).
• Experience building or supporting credit models, including probability of default modeling, cashflow modeling, or dynamic credit limit setting.

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): $200,700 - $250,900 USD
• Canadian employees (any location): CAD 189,700 - 237,100

Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.