Head of Go-to-Market Data Science & Machine Learning

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

What you'll do

  • Develop the long-term vision and strategy for a new team with an ambitious mission to build a greenfield portfolio of state-of-the art data science products for sales and marketing
  • Partner closely with sales, marketing, product, operations, engineering and data science teams to influence business strategy, identify opportunities, build scalable solutions for critical problems, and evangelize the integration of data science products into systems, processes and decisions
  • Support the data science team in achieving a high level of technical quality, business impact, and a relentlessly customer-focused mindset
  • Manage processes to help the team do its best work, collaborate in an open and inclusive environment, and engage effectively with the rest of Stripe
  • Recruit a talented and diverse team of data scientists and analysts, in collaboration with Stripe’s recruiting team
  • Develop and lead a team of  data scientists and analysts, helping them advance in their careers
  • Contribute to data science programs and initiatives as a member of Stripe’s community of data science leaders

Who you are

We are seeking a senior science leader to head our Go-to-Market Data Science team. This is an exciting opportunity to build the models and algorithms that power Stripe’s growth engine in partnership with Sales and Marketing. You will drive innovation at the intersection of statistics, machine learning and economics to solve a broad range of problems including, but not limited to: predicting user value and propensity to buy across Stripe’s portfolio of products; multi-channel attribution and performance marketing optimization; forecasting performance metrics to set targets for entire organizations and for individual sales team members; measuring lift and return on investment across self-serve, marketing and sales channels; experimentation on Stripe user-facing surfaces, marketing campaigns, and sales methodologies; optimizing resource and sales headcount allocation; defining sales territories; measuring, predicting and optimizing performance across all stages of a user’s lifecycle from awareness to adoption and retention; anomaly detection; designing sales compensation models; informing pricing, product bundling, and contracting.

In this opportunity you will partner closely with go-to-market and technical leaders to scale sales and marketing functions and to shape business strategy at the forefront of driving Stripe’s revenue and growth. You will have broad exposure across product, finance, and data science teams, solve challenging and ambiguous business problems, and operate with autonomy in a dynamic, high-growth environment. 

Minimum requirements

  • A PhD or MS in a quantitative field (e.g., statistics, economics, sciences, mathematics, engineering)
  • 5-8+ years of hands-on experience designing, building and maintaining production machine learning applications
  • 5+ years of management experience leading and growing diverse, high-performing teams, including managing other managers
  • Track record of creating a positive culture that’s both supportive and challenging
  • Expertise in statistics, machine learning, causal inference, forecasting and/or and experimental design
  • Proficiency in a scientific computing language (such as R or Python) and SQL
  • Strong ability to solve ambiguous and complex business problems, think rigorously and make hard decisions and tradeoffs
  • A track record building strong collaborative relationships with business and technical partners, excellent stakeholder management and influencing skills
  • Exceptional ability to communicate strategy and technical concepts clearly across disciplines, organizations, and senior audiences
  • A can-do attitude, empathy, commitment to great results, and genuine passion for learning

Preferred qualifications

  • Prior experience working with sales, marketing, and operations teams
  • Experience building data science solutions using distributed computing platforms
  • Familiarity with industry best practices for distributed teams