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Data Scientist Data Analyst

Sr. Data Scientist, Global Engineering Insights & Software Tools; GEIST

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: Amazon
Full Time position
Listed on 2026-02-07
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
Job Description & How to Apply Below
Sr. Data Scientist, Global Engineering Insights & Software Tools (GEIST)

Join to apply for the Sr. Data Scientist, Global Engineering Insights & Software Tools (GEIST) role at Amazon.

Job Description

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 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.
  • Collaborate with software, data, and BI engineers and product managers to integrate ML solutions into GEIST's data and software products.
  • Create and share technical papers and presentations with audiences of varying levels.
  • Partner with business stakeholders to translate operational challenges into data science solutions.
  • Deal with ambiguity, prioritize needs, and deliver results in a dynamic environment.
    • About The Team

    The GEIST team serves as the software solution team for all Global Engineering needs, working with its customers to set a consolidated Tech strategy and prioritize investments. The team maintains a large product suite ranging from Planning & Forecasting applications to in-flight management systems used by thousands worldwide.

    Basic Qualifications
  • 5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical software (e.g., R, SAS, Matlab).
  • 4+ years of data scientist experience.
  • Experience with statistical models such as multinomial logistic regression.
  • Bachelor's degree.
    • Preferred Qualifications
  • 2+ years of experience with data visualization tools like AWS Quick Sight, Tableau, R Shiny, etc.
  • Experience managing data pipelines.
  • Leadership and mentoring experience in a data science team.

    • Amazon is an equal opportunity employer and values diversity. For accommodations during the hiring process, visit this link.

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