Data Scientist, Core Infrastructure

The shape of it

In the posting’s own words

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:

What it asks for · 10

• Seattle, WA or San Francisco, CA (Hybrid: 50% in office)
• 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.

Also a plus

• 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.

What the job covers

• 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.

Degree language

• PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience.

Tools and skills named

Words the posting leans on

• data7×
• infrastructure7×
• engineering5×
• experience5×
• requirements5×
• business4×
• cloud4×
• science4×
• actionable3×
• analyzing3×
• decisions3×
• improve3×
• quantitative3×
• recommendations3×
• resource3×
• analyses2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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