Data Scientist, Core Infrastructure
Stripe•4h ago
United StatesOnsiteFull-timeMid Level3+ yrs exp
H-1B sponsor
Top focus
Data ScientistVp Data
- 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
- accelerate new business opportunities. Our mission is to increase the GDP of the internet
- 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
- You’ll be joining the data science team at Stripe responsible for our overall infrastructure, with a focus on core systems and cloud platforms. Projects include, but are not limited to:
- Developing models to predict resource needs as Stripe demand increases;
- Working closely with engineers to improve the cost and performance of platforms and services;
- Employing quantitative methods to drive and automate fleet decisions.
- You will act as a key strategic data partner to the Core Infrastructure organization at Stripe
- drive the strategy and tactics needed to help ensure Stripe can continue to scale with efficiency and dependability as our business rapidly grows.
- What you'll do
- As a Data Scientist, your role will involve:
- Analyzing infrastructure usage, efficiency, and workloads to predict demand and inform capacity planning.
- Developing models and strategies for efficient compute resource consumption and provisioning.
- Collaborating with engineers, engineering leadership, and finance teams to ensure Stripe makes the right, data-driven, infrastructure decisions.
- Providing actionable insights and recommendations to improve infrastructure operations to reduce costs and improve reliability.
- Utilizing your analytical expertise to influence both technical and financial strategies within Stripe.
- 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
- PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience.
- 3-8+ years of experience with a focus on infrastructure, cloud environments, and resource utilization/allocation.
- Proficiency in SQL and a computing language such as Python or R.
- Experience in analyzing logs/telemetry, scheduling optimization, or cloud infrastructure engineering.
- Ability to effectively work both independently and with cross-disciplinary teams, including engineering and finance, to deliver impactful results.
- A demonstrated ability to manage and deliver on multiple projects with a high attention to detail.
- Solid business acumen and experience in synthesizing complex analyses into actionable recommendations.
- A track record of building relationships with and influencing the decisions of senior technical leadership.
- A builder's mindset with a willingness to question assumptions and conventional wisdom.
- Preferred qualifications
- Background in deploying data models in production environments and optimizing their performance.
- Experience in using, deploying on, and analyzing usage data from public cloud providers.
- Familiarity with distributed computing tools such as Spark and Hadoop.
- A PhD or MS in a quantitative field like Computer Science & Engineering, Statistics, Mathematics, Operations Research, Industrial Engineering, Management Science, or related disciplines.
- Strong business acumen with a track record of translating complex data analyses into actionable business recommendations.
- Location Preference
- San Francisco, CA or Seattle, WA.
Required skills
SQLPythonRcloud infrastructuredata modelingSparkHadoop