Amazon Data Scientist III Level Stores PXT Analytics Team 

United States, New York, New York 

723045302

In this role, your main focus will be to perform analysis, synthesize information, identify business opportunities, provide project direction, and communicate business and technical requirements within the team and across stakeholder groups. You will consider the day-to-day needs of our continuously evolving analytics world and insist on the standards required to build automated and scalable solutions for tomorrow. You will assist in defining trade-offs and quantifying opportunities for a variety of projects. You will learn current processes, build metrics, educate diverse stakeholder groups, assist in initial solution design, and audit all model 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
• Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard AI/ML models and working with Large Language Models.
• Discover causal relationships in our data and recommend independent variables to be used in predictive and prescriptive analyses.
• Proficiency in both Supervised (Linear/Logistic Regression) and Unsupervised algorithms (k means clustering).
• Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management.• Innovate by adapting new modeling techniques and procedures. Process large scale datasets using distributed computing platform to build models, mining insights from data and prototyping models that optimize towards various business goals and metrics.
• Passionate about working with huge data sets (training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets.
• Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive.
• Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers.
• Interact with cross-functional teams and make business recommendations i.e., cost-benefit, forecasting, experiment analysis and present findings to leadership team.

- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
- 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience.
- 3+ years of data querying languages (e.g., SQL, Hadoop/Hive) experience.
- 3+ years of data visualization using AWS QuickSight and similar tools.
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.
- Experience applying theoretical models in an applied environment.