In this role, your main focus will be to analyze fulfillment network trends, identify business opportunities, provide project direction, and communicate design and technical requirements within the team and across stakeholder groups. You will own the science vision, lead AI/ML research strategy and roadmap for the org, drive metrics, assist science groups in initial solution design and audit new flow implementations. A successful candidate in this position will have a background in communicating across significant differences, prioritizing competing requests, and quantifying decisions made.
Key job responsibilities
- Analyze, model and interpret data for Amazon warehouse operational performance.
- Predictive analysis using Machine Learning models at scale.
- Partner with other scientists and engineers to translate frontier AI research into production-grade tools for process design developments.
- Data analysis, modeling, network flow prediction using Excel, Pivot tables, VBA, Tableau, SQL (Amazon Redshift), R, Python.
- Innovate and simplify data solutions to standardize and enable automation.
- Support Worldwide Engineering teams by providing necessary data for of process flows and selection of various MHE's.
- Support process improvement initiatives among site operations, engineering, and corporate systems groups by managing data pipelines.
- Develop data and optimization-based solutions to the best-in-class process flow to improve the throughput of the fulfillment facilities.
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
- Experience developing, deploying and managing AI products at scale
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 diverse MHS, industrial mechanical and electrical systems and automation, controls and robotics systems
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually