Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A global technology platform connects millions of people with creative ideas and inspiration while supporting a large-scale infrastructure ecosystem designed for reliability, performance, measurement, and efficiency. The organization continues to invest in artificial intelligence, data science, and innovative technologies to improve its platform and help teams make smarter technical and business decisions.
The organization is seeking a Sr. Data Scientist, Infrastructure to join its Infrastructure Data Science team. This role will partner closely with engineering and cross-functional teams to make complex infrastructure systems more measurable, understandable, and actionable.
The successful candidate will help build data foundations, measurement systems, and analytical frameworks that enable teams to optimize core technical systems and make informed product and infrastructure decisions. Depending on the area of focus, the work may span application performance, shopping infrastructure, metrics quality, infrastructure governance, or site reliability.
What You’ll Do
- Partner with engineering teams to define, measure, and improve the health, quality, and efficiency of infrastructure systems.
- Build and refine metrics, dashboards, and analytical frameworks that make complex technical systems more understandable and actionable.
- Strengthen data foundations by improving metric definitions, auditing data quality, and contributing to pipeline and measurement improvements.
- Design and analyze experiments, investigations, and deep dives to quantify the impact of infrastructure changes on user experience, reliability, and business outcomes.
- Translate ambiguous technical problems into clear analyses and actionable recommendations for engineering and platform partners.
- Support high-priority investigations and decision-making related to infrastructure performance, reliability, cost, and measurement quality.
- Identify opportunities to improve how infrastructure is measured and optimized across areas such as performance, shopping infrastructure, governance, metrics quality, and site reliability.
- Collaborate with engineering and cross-functional teams to develop scalable and trustworthy measurement foundations.
- Apply scientific and analytical methods to solve complex infrastructure and business problems using large-scale datasets.
What We’re Looking For
- 4+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems using large-scale data.
- Bachelor’s or Master’s degree in a relevant field such as Computer Science, or equivalent experience.
- Strong SQL and analytical programming skills, with experience working with messy or imperfect data and building reliable metrics and datasets.
- Experience partnering on or contributing to production-ready data pipelines, measurement systems, or foundational data initiatives that improve data quality and usability.
- Strong foundation in experimentation and measurement, including the ability to design analyses, interpret results rigorously, and collaborate effectively with engineers and cross-functional stakeholders.
- Demonstrated ability to translate ambiguous problems into structured analytical workstreams and actionable recommendations.
- Strong cross-functional communication skills with the ability to explain technical findings clearly to engineering, product, and platform stakeholders.
- Ability to work independently, prioritize long-term projects alongside urgent requests, and drive initiatives forward in a dynamic environment.
- Curiosity and a builder mindset, with enthusiasm for improving complex systems and creating scalable, reliable, and trustworthy measurement foundations.
- Ability to collaborate effectively with AI and explain analytical approaches, methodologies, and decision-making processes throughout the interview process.
Work Arrangement
The ideal working environment may vary depending on the organization and role. Day-to-day expectations can differ based on business and team needs. This position requires in-office collaboration approximately 1–2 times per quarter and can therefore be based anywhere in the country.
Disclaimer
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- No Client Relationship: This company is not a client of SpringCube unless stated.
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