Would you like to be part of a team that's building the future of data-driven decision making for Global Engineering Services (GES)?
The Analytics & Data Engineering (ADE) team within GEIST (Global Engineering Insights & Software Tools) is seeking a talented senior Data Scientist to help establish and grow our data science capabilities. You'll be instrumental in developing predictive analytics solutions that drive better decision-making across GES operations, with initial focus on project delivery risk management and cost optimization.
Key job responsibilities
• Design and implement machine learning models for predicting project timeline and cost variations
• Build ML-driven data quality monitoring capabilities across our Data Lakehouse infrastructure
• Work closely with software, data and BI engineers and product managers to integrate ML solutions into GEIST's data and software products
• Create and share with audiences of varying levels technical papers and presentations
• Partner with business stakeholders to translate operational challenges into data science solutions
• Deal with ambiguity, prioritizing needs, and delivering results in a dynamic environment
About the team
The GEIST team serves as the software solution team to all Global Engineering needs, working with its customers to set a consolidated Tech strategy, and prioritizing investments to best serve their needs and our bottom line. The GEIST team is responsible for the sustainment of a large product suite ranging from Planning & Forecasting applications to robust in-flight management of field execution users. These systems are leveraged by several thousand internal and external users around the globe.- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Bachelor's degree- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
