Data Scientist, Fulfillment Network Optimization

7 days ago

Toronto, Ontario, Canada Amazon Canada Fulfillment Services, ULC Full time

About the Role

We are seeking a highly skilled Data Scientist to join our North America Sort Centers (NASC) Engineering team. As a Data Scientist, you will design and implement solutions to address complex business questions using simulation. You will apply advanced analysis techniques and statistical concepts to draw insights from massive datasets, and create intuitive simulations and data visualizations.

Key Responsibilities

  • Design and implement solutions to address complex business questions using simulation
  • Apply advanced analysis techniques and statistical concepts to draw insights from massive datasets
  • Create intuitive simulations and data visualizations
  • Work closely with process design engineers, business intelligence engineers, and technical product managers to obtain relevant datasets and create simulation models
  • Review key results with business leaders and stakeholders

About the Team

NASC Engineering's Product and Analytics Team is responsible for developing tools for under the roof simulation and optimization, supporting the needs of our internal and external stakeholders. We develop data science tools to evaluate what-if design and operations scenarios for new and existing sort centers to understand their robustness, stability, scalability, and cost-effectiveness.

Requirements

  • Masters or PhD with limited experience, OR a Bachelors degree in Statistics, Applied Math, Operations Research, Economics, Engineering, or a related quantitative field with three years of working experience as a Data Scientist
  • Experience with statistical analysis, data modeling, optimizations, regression modeling, and forecasting, time series analysis, data mining, financial analysis, and demand modeling
  • Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
  • Experience in Statistical Software such as R, Weka, SAS, SPSS
  • Proficiency with TABLEAU or other web-based interfaces to create graphic-rich customizable plots, charts, data maps, etc.
  • Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL)
  • Experience using one or more programming languages (Python, R, Java, C++, MATLAB)
  • Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data

Preferred Qualifications

  • Previous experience in ML, data scientist, or optimization engineer role with a large technology company
  • Familiarity with the processes used in Amazon fulfillment/sortation network
  • Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
  • Experience in creating data-driven visualizations to describe an end-to-end system
  • Excellent written and verbal communication skills
  • Ability to work on a diverse team or with a diverse range of coworkers

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