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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 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.

Basic Qualifications

- Master's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

- Experience applying theoretical models in an applied environment

- Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.

- Strong communication skills and ability to explain technical concepts to various audiences

Preferred Qualifications

- PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field

- Experience with MLOps and ML infrastructure development

- Knowledge of construction/engineering domain

- Experience working with large-scale data processing systems

- Background in cost modeling and business impact analysis

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.