Forecasting Data Scientist — Fulfillment & Operations

Amazon

Bellevue (WA)

On-site

USD 136,000 - 184,000

Full time

14 days+

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Benefits offered by this job

RSUs
Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon is seeking a Data Scientist for the NACP Analytics team in Bellevue, WA to lead forecasting initiatives and address capacity planning bottlenecks. You will partner with Data Engineers, BIEs, and Supply Chain leaders to develop scalable analytics and AI-powered solutions.

The role requires strong statistics and coding skills, with 2+ years in data science and 3+ years in SQL/Python/R/SAS/Matlab. You will contribute to predictive models and cross-functional product impact.

Qualifications

  • Bachelor's degree.
  • 2+ years of data scientist experience.
  • 3+ years of data querying languages (e.g. SQL, Python or R/SAS/Matlab) experience.
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques.
  • Experience applying theoretical models in an applied environment.

Responsibilities

  • Develop new forecasting models or improve existing approaches using scalable techniques.
  • Extract data for analysis and model development from large, complex datasets to explain demand trends.
  • Closely work with engineering teams to build scalable, efficient systems that implement prototypes in production.
  • Distill problem definitions from informal business requirements and communicate technical solutions to senior business leaders.
  • Drive innovation and best practices in applied research across the Amazon research science community.

Skills

SQL
Python
R
Machine learning
Data analysis

Education

Bachelor's degree
Master's degree

Tools

SAS
Matlab

Job description

Amazon is seeking a Data Scientist for the NACP Analytics team in Bellevue, WA to lead forecasting initiatives and address capacity planning bottlenecks. You will partner with Data Engineers, BIEs, and Supply Chain leaders to develop scalable analytics and AI-powered solutions.

The role requires strong statistics and coding skills, with 2+ years in data science and 3+ years in SQL/Python/R/SAS/Matlab. You will contribute to predictive models and cross-functional product impact.

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