Data Science Manager

Growth Intelligence and Machine Learning

Updated on 3/28/2023

Locations

Canada • Remote • New York, NY, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Data Science

SQL

Python

Requirements

10+ years of machine learning and data science experience including at least 5 years of management and experience managing other managers
Experience building a team, defining its mission, and executing on its goals
A PhD or MS in a quantitative field (e.g., Statistics, Economics, Math, Sciences, Engineering)
Expert knowledge of a scientific computing language (such as R or Python) and SQL
Expertise in machine learning. Statistics and experimentation
Organizational leadership experience, including experience collaborating with executive leadership

Responsibilities

Work closely with engineering, product and business leaders to develop and execute on a data-first growth strategy that scales with Stripe
Build, lead, and manage a high-performing team of scientists
Mentor and grow managers and leaders, fostering a culture of high-performance and empathy
Develop the long-term vision for Growth Intelligence, and create and deliver on an impactful execution roadmap
Design and build high-quality business-critical machine learning powered systems that drive growth
Provide technical thought leadership in the areas of applied machine learning and optimization
Shape product strategy and business decisions across all teams, from Payments to Capital to Sales to Risk
Shape and influence our data models and instrumentation to generate insights and unlock new data products
Contribute to Data Science org-wide initiatives as part of the Data Science leadership team

Desired Qualifications

Have successfully led large, geographically distributed teams
Experience in recommender systems, product-led growth, and/or lifecycle marketing
Experience developing external and internal machine-learning driven products

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.

About the team

Our Growth team is on a mission to acquire, convert and grow millions of merchants globally across Stripe’s full suite of financial products. We are a cross functional team of engineers, scientists, marketers, designers and product managers who deliver the insights, algorithms, internal systems and tools, and user-facing experiences that fuel Stripe’s growth. In short, we make it easy for businesses around the world to act on their interest in Stripe.

What you’ll do

As the Growth Intelligence Data Science and Machine Learning Manager, you will lead and inspire a high-performing team to build and own data and machine learning driven products, internal tools, and user-facing experiences that power our go-to-market and product-led growth. You will build our recommendations and growth experimentation engines, measure and optimize key growth-related user experiences (e.g., onboarding flow, dashboard modules, Stripe.com, marketing content), and shape the product strategy of the entire Growth organization through data-driven insights.

Responsibilities

Work closely with engineering, product and business leaders to develop and execute on a data-first growth strategy that scales with Stripe
Build, lead, and manage a high-performing team of scientists
Mentor and grow managers and leaders, fostering a culture of high-performance and empathy
Develop the long-term vision for Growth Intelligence, and create and deliver on an impactful execution roadmap
Design and build high-quality business-critical machine learning powered systems that drive growth
Provide technical thought leadership in the areas of applied machine learning and optimization
Shape product strategy and business decisions across all teams, from Payments to Capital to Sales to Risk
Shape and influence our data models and instrumentation to generate insights and unlock new data products
Contribute to Data Science org-wide initiatives as part of the Data Science leadership team

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

10+ years of machine learning and data science experience including at least 5 years of management and experience managing other managers
Experience building a team, defining its mission, and executing on its goals
A PhD or MS in a quantitative field (e.g., Statistics, Economics, Math, Sciences, Engineering)
Expert knowledge of a scientific computing language (such as R or Python) and SQL
Expertise in machine learning. Statistics and experimentation
Organizational leadership experience, including experience collaborating with executive leadership

Preferred qualifications

Have successfully led large, geographically distributed teams
Experience in recommender systems, product-led growth, and/or lifecycle marketing
Experience developing external and internal machine-learning driven products

1,001-5,000 employees

Website

Payment processing platform

Company Overview

Stripe's mission is to increase the GDP of the internet. Stripe is a technology company that builds economic infrastructure for the internet.

Benefits

Inclusive coverage - We provide a thoughtful and balanced set of benefits that allow Stripes to be their best selves and do great work. Whether that means offering comprehensive mental, physical, and medical health plans, supporting Stripes’ financial futures, providing fertility benefits and parental leave, or making sure Stripes have access to healthy food at the office, our robust programs put Stripes and their families first.
Growth by way of learning - We are voracious learners and teachers. Our Education team delivers an onboarding and product training curriculum for all new Stripes, and hosts expert-led courses on things like project management fundamentals and macroeconomics. Beyond the formal program, Stripes are constantly sharing knowledge with each other through conversation, documentation, reading groups, and informal talks.
A principled approach to food - The food program holds a special place in Stripe’s history and future. These Stripes come to our kitchen from a breadth of backgrounds and experiences, and focus on one proposition—respect. This is apparent not only in the local ingredients they work with or in the gracious, teamwork-driven buffet lines, but also in their approach to growing a global team through sustainable food practices and minimal waste.

Company Core Values

An environment of growth
Intentional communication
Fast-paced, detail oriented
Voraciously curious