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Data Science Manager - Expansion

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

In 1950, when Frank McNamara forgot his wallet at a restaurant, he transformed that moment of embarrassment into Diners Club – the world's first credit card company and an entirely new category of financial products. Today, we're seeking someone who can pioneer the next generation of financial technology through data science and artificial intelligence. As the Data Science Manager for Product Expansion at Mercury, you'll lead the charge in developing the data infrastructure, AI systems, and analytics capabilities that will power our next wave of innovative financial products.

We are looking for a Senior Data Science Manager who can architect comprehensive data solutions - from foundational analytics to cutting-edge AI applications. In this role, you'll be responsible for creating self-service data products, building ML systems that enhance our product experiences, and developing the measurement frameworks that will guide Mercury's expansion into new product lines. You'll work closely with product, engineering, and business teams to enable data-driven decision making while integrating advanced technologies that reshape how businesses interact with their finances.

Responsibilities:

  • Lead a team of 3 senior IC data scientists supporting the Expansion team across bill pay, invoicing, spend management, accounting, credit/lending, and personal banking initiatives
  • Design and implement self-service data products that enable teams to answer key business and product questions independently
  • Build ML and AI systems that enhance core product experiences, including automated transaction classification and generative AI applications
  • Develop comprehensive measurement frameworks and automated reporting systems for new product launches
  • Create and maintain sophisticated A/B testing frameworks to evaluate product improvements
  • Partner with Product and Engineering leads to establish data infrastructure and ML systems for new product lines
  • Create data-driven frameworks for evaluating and prioritizing greenfield opportunities

We're looking for a technical leader who combines deep ML expertise with strong analytics foundations and business acumen. A successful candidate will likely have:

  • 5+ years of analytics experience, with 1+ years managing analytics teams
  • Deep expertise in SQL, Python, and data modeling
  • Hands-on experience with generative AI and agentic frameworks (e.g., LangChain, LangSmith, LlamaIndex, CrewAI, Pydantic, Foundational LLMs, Fine-tuning, DSPy, specialty SLMs)
  • Hands-on experience with real-time machine learning: building, deploying, and managing P0 production systems with SRE responsibilities 
  • Experience building self-service analytics tools and data products
  • Strong background in experimentation and causal inference
  • Track record of successful zero-to-one product development and launches
  • Background in financial services (banking, insurance, accounting, or payments)
  • Proven ability to influence strategy and lead cross-functional initiatives

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): $237,600 - 279,500 USD
  • Canadian employees (any location): CAD $216,200 - $254,300

Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group, Column N.A., and Evolve Bank & Trust, Members FDIC.

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 on January 22, 2024. Please see the independent bias audit report covering our use of Covey here.

 

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