Amazon Data Scientist PLEX-SIA 

United States, Texas, Austin 

262134843

Creating reliable & scalable forecasting techniques requires a sound understanding of the data and creation of quality input for ML models . Your data analytics will influence the performance of all North America Amazon Fulfillment networks. You will be working on large-scale data-sets and leverage your knowledge in advanced data analysis, ML, statistics, and other scientific tools to provide detailed insights that help scientists in the team to create accurate time-series forecasting models and other value-added research to the business. You will contribute in building scalable scientific models & algorithms and provide visualizations to drive data insight. You will own & drive the strategic insights and recommendations for the business that plays a key role in labor planning.Innovation Opportunities & Career GrowthFlexibility
It's not the hours that you put into work matters, rather it's the quality of work that you put in. We provide flexibility and support to help you find a balance between your work and personal lives.- Austin, TX
- Bellevue, WA
- Nashville, TN
- New York, NYKey job responsibilities
- Design and implement advanced forecasting models to optimize fulfillment network operations
- Develop scalable ML models and algorithms for time-series forecasting
- Analyze large-scale complex data to make decisions in scientific research projects

- 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
- Experience diving into data to discover hidden patterns and of conducting error/deviation analysis
- Knowledge in use of ML models, Deep Expertise in statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Master's with 2+ years or BS with 5+ years experience in computer science, mathematics, statistics, machine learning or equivalent quantitative field

- 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
- Experience in data modeling (e.g. ERWin, ERStudio), ETL tools (e.g. Informatica, SSIS), and BI tools (e.g. Tableau)