The opportunity
You’ll be joining the data science team at Stripe responsible for our overall infrastructure, with a focus on core systems and cloud platforms.
What you'll do
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.
What they're looking for
- 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.
