As a Data Scientist, you will take lead on exploring and creating business value from data science operations, you will formulate strategies and follow-on data science processes and architectures, including statistical analysis, machine learning modeling etc. You will help ensure understanding of the business objectives and help invent new ways to analyze, visualize, and derive value from enterprise and financial services data.
In this role, you will be working in one of the world's largest and most complex data warehouse environments; you should be passionate about working with huge data sets and be someone who loves to bring data together to answer business questions.
The Data Scientist will be a part of a team chartered to merge and mine large amounts of retail execution, sales and other relevant data to develop algorithms and production grade analytical solutions that drive decisions on what work company does for its clients that delivers them and internally within company most value.
Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes; design, development and evaluation of highly innovative models for predictive learning.
You will work hand-in-hand with data scientists, engineers, program managers and business partners to understand problems, define data-driven solutions, execute plans, measure and communicate results on a regular basis.
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$40K to $66K -Chicago, IL
Entail the design and prototyping of data analysis products focused in predictive analytics, including extensive data manipulation and aggregation for exploration, reporting, visualization, and modeling purposes.
He/she will have a strong bias toward data driven decision making. He/she will be a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and will enjoy working in a fast-paced dynamic environment.
You'll lead the design, development, and maintenance of the metrics that drive the key business decisions for our program; you're a pro at moving, processing, and aggregating data across different systems in a developer environment.