Data Science Manager
Data Science Manager
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Job Description
Who we are
Liquidity and Capital Management Data Science is at the core of ensuring that Stripe is a reliable foundation for our users to grow the GDP of the internet. This team partners closely with Stripes Treasury Finance team Money Movement and Storage Product/Engineering team and Risk team. Key responsibilities include developing Stripes capital plan forecasting and monitoring liquidity needs managing counterparty risk and providing macroeconomic guidance for decisions on Stripes annual budget and strategic company investments.
What youll do
Data Science Managers at Stripe are responsible for the success of their team. Youll be deeply involved in the modeling and design processes as well as coaching mentoring and leading the team. Youll have a deep understanding of how to drive efficient data science teams and youll have a strong userfocus. Youll be working with data scientists analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership.
Responsibilities
- Drive the roadmap and priorities for your team and work with many Stripe leaders across the company to enhance our ability to be data driven.
- Collaborate with stakeholders across the organization such as engineering analytics operations finance and marketing.
- Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe
- Manage a highperforming team of data scientists supporting them to achieve a high level of technical excellence and advance in their careers.
- Recruit and onboard great data scientists in collaboration with Stripes recruiting team
- Contribute to broad data science initiatives as a member of Stripes data science management team.
Who you are
Were 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
- You have at least 3 years of direct management experience leading data science and ML teams and 10 years of overall data science experience.
- You have demonstrated expertise in designing metrics and guiding business decisions with data.
- You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
- Youve managed teams that have built and shipped machine learning systems and data products at scale and have handson experience with challenging problems.
- You work very well crossfunctionally and are able to think rigorously and make hard decisions and tradeoffs.
- You have clear and persuasive communication skills in writing and verbally.
- You thrive on a high level of autonomy and responsibility.
- You foster a healthy inclusive challenging and supportive work environment.
Preferred qualifications
- A PhD or MS in a quantitative field (e.g. Statistics Operations Research Economics Computer Science Engineering).
- You are comfortable working with geographically distributed teams
- Expertise in time series forecasting predictive modeling or optimization
- Expertise in data design and building scalable data architectures
**This role is not eligible for hire in the Greater NYC Area or San Francisco Bay Area
Required Experience:
Manager
Employment Type
Full Time
