FinOps Data Scientist, Global Services Security - Office of Security Innovation

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
Data
Senior Software Engineer
In-Person
5+ years of experience
AI · Enterprise SaaS · Cybersecurity
This job posting may no longer be active. You may be interested in these related jobs instead:
Senior Business Intelligence Engineer, Licensed Sports

Senior Business Intelligence Engineer role at Amazon's Licensed Sports team, focusing on data analytics and business intelligence to transform sports shopping experience.

Data Scientist, Vehicle Engineering, Testing, Reliability

Senior Data Scientist role at Amazon's Vehicle Programs & Engineering team, focusing on fleet optimization and data-driven decision making for last-mile operations.

Senior Data Engineer, WWFBA Analytics & Engineering

Senior Data Engineer position at Amazon's WWFBA Analytics & Engineering team, building scalable data solutions and infrastructure using advanced technologies.

BI Engineer, Personalization

Senior BI Engineer role at Amazon's Personalization team, focusing on data-driven solutions to enhance customer search experiences.

Business Intelligence Engineer, Infrastructure Finance Business Intelligence and Transformation

Senior Business Intelligence Engineer role at AWS, focusing on analytics platform development for Supply Chain Finance, offering competitive compensation and benefits.

Description For FinOps Data Scientist, Global Services Security - Office of Security Innovation

As a Data Scientist within AWS's Global Services Security organization, you'll play a crucial role in optimizing AWS account infrastructure resources and costs. This position combines advanced analytics and data engineering expertise to drive cloud and infrastructure optimization in a massive organization with thousands of builders. You'll design sophisticated data pipelines, conduct statistical analyses, and develop scalable BI solutions for fleet management.

The role offers unique opportunities to work across multiple business lines, contributing to various infrastructure optimization cases. Success is measured through delivering impactful data-driven solutions. You'll partner with business and finance teams, implement ETL pipelines, conduct complex analyses, and create visualization solutions that communicate insights effectively.

AWS, as the world's leading cloud platform, provides an environment where innovation is constant. The company values diverse experiences and maintains an inclusive culture through employee-led affinity groups and ongoing learning opportunities. Work-life harmony is prioritized, with flexibility built into the working culture.

The position requires strong technical skills in SQL, Python (with data libraries), statistics, and ETL processes. Preferred qualifications include experience with modern data warehouse solutions, statistical modeling, BI tools, and cloud infrastructure. This is an excellent opportunity for a data professional looking to impact cloud infrastructure optimization at scale while working with cutting-edge technologies in a supportive, growth-oriented environment.

Last updated 3 months ago

Responsibilities For FinOps Data Scientist, Global Services Security - Office of Security Innovation

  • Design and implement sophisticated data pipelines and data models
  • Conduct complex statistical analyses and hypothesis testing
  • Develop advanced visualization solutions and automated reporting systems
  • Create and maintain production-quality statistical models for anomaly detection and forecasting
  • Build and optimize data pipelines and warehousing solutions
  • Partner with business and finance teams to identify high-impact data-based opportunities
  • Collaborate with engineering teams to integrate data-backed solutions

Requirements For FinOps Data Scientist, Global Services Security - Office of Security Innovation

Python
  • Bachelor's degree and 5 years of experience or Master's degree and 2 years of experience
  • SQL experience, including complex queries, optimization, and data modeling
  • Python experience with focus on data libraries (pandas, numpy, scipy) and visualization libraries (plotly, bokeh, Streamlit)
  • Background in statistics and experimental design
  • Experience building and maintaining data pipelines and ETL processes at scale

Benefits For FinOps Data Scientist, Global Services Security - Office of Security Innovation

Medical Insurance
Equity
  • Work-life harmony
  • Flexible working culture
  • Mentorship and career growth opportunities
  • Employee-led affinity groups
  • Inclusive team culture
  • Knowledge-sharing resources

Interested in this job?