Data Scientist II, Worldwide Design Engineering - Data Science Job ID: 10521209 | Amazon.com Services LLC Are you a data enthusiast? Are you a creative big thinker who is passionate about using data and optimization tools to direct decision making and solve complex and large-scale challenges?

At Amazon Worldwide Fulfillment

Design and Engineering, we are designing the future and if you are in quest of an iterative fast-paced environment, where you can drive innovation through data visualization products, advance analytics and machine learning at scale, this is your opportunity. 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.

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. Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children.

Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: # Medical, Dental, and Vision Coverage # Maternity and Parental Leave Options # Paid Time Off (PTO) #At Amazon, we value people with unique backgrounds, experiences, and skillsets. 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 Experience with machine learning/statistical modeling data analysis tools and techniques,



and parameters that affect its 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 . Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply. #

📌 Data Scientist II, Worldwide Design Engineering - Data Science (Asti)
🏢 Amazon
📍 Asti