Data Scientist

Key job responsibilities

• Analyze, model and interpret data for Amazon warehouse operational performance
• Data analysis, modeling, network flow prediction using Excel, Pivot tables, VBA, Tableau, SQL (Amazon Redshift), R, Python
• Predictive analysis using Machine Learning models at scale
• Create effective data analysis reports and communicate with stakeholders
• Innovate and simplify data analysis process to standardize and enable automation
• Support Worldwide Engineering teams by providing necessary data for of process flows and selection of various MHE's
• Manage multiple data analysis projects and tasks simultaneously and effectively influence, negotiate, and communicate with internal and external business partners, contractors and vendors.
• Support process improvement initiatives among site operations, engineering, and corporate systems groups by providing relevant data.
• Develop data and optimization-based solutions to the best-in-class process flow to improve the throughput of the fulfillment facilities.
  

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA

Basic Qualifications

• 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
• 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• Master's degree in a quantitative field, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
• 2+ years of data querying languages (e.g. SQL, Hadoop/Hive) experience
• Proficiency in data visualizations and dashboarding using AWS QuickSight Or Tableau and in MS Excel (including Pivots, VBA, etc.)
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
  

Preferred Qualifications

• Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
• Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
• Knowledge of industrial engineering, warehouse design principles. complex MHE Automation & Robotics used in Warehouse or manufacturing environment.