Sr. Data Scientist, Optimal Inventory Health (OIH)

- 4+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 4+ 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 such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience
- Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive)
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Experience developing intricate systems, including establishing target system results and operation tolerances, developing a system design, analyzing this design use in relation to the function of the elements in the system, developing system prototypes, and testing and validating the developed design to quantify its value
- Exposure to relational databases and Linux

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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Amazon's Optimal Inventory Health (OIH) org in Supply Chain Optimization (SCOT) group is looking for a Senior Data Scientist to build one of the most complex eCommerce systems in the world. The OIH drives long-term cash flow (LTFCF) growth by determining optimal inventory dispositions under uncertainties in demand, pricing, and supply across Amazon’s 21 marketplaces global network. OIH is in the unique position to drive the joint optimization across supply chain and marketing across the levers of Markdowns, Removals, Outlet, Deals, and Ads, etc. Our systems delivers hundreds of million dollar saving to Amazon each year.

We are investing and building the next generation inventory disposition decision models based on large volume, high quality historical data using latest technologies like Reinforcement learning, Causal inference, Deep Learning Prediction, etc. As a part of our team, you will define the data science long-term vision and implementation to optimize across inventory disposition channels and deliver the best experience to Amazon customers through those levers across the whole product life cycle. You will have the opportunities to see your data insights directly impact million customers and generate large saving for Amazon.

Key job responsibilities
As a Sr. Data Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with massive-scale data and providing analytic leadership to scientists, product managers, engineers using these data. You will leverage your knowledge in machine learning, advanced analytics, metrics, reporting, and analytic tooling/languages to analyze and translate the data into meaningful insights. You will closely collaborate with business, scientists, and engineers. You will have end-to-end ownership of operational and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making. Further, you will build solutions leveraging advanced analytics that enable stakeholders to manage the business and make effective decisions, partner with internal teams to identify process and system improvement opportunities.

A day in the life
- You will engage with Principal scientists and Senior scientists across organizations to shape the vision of the eCommerce decision systems across supply chain and marketing.
- You will collaborate with talented product managers and software engineers to build the end to end systems.
- You will work with stakeholders across retail, supply chain, finance etc. to understand the business operation process and bottlenecks and build solution to provide the best experience to Amazon customers through automated OIH actions.
- You have the access to the richest eCommerce data and will be able to see the actual significant business impact quickly with the models you build.

About the team
Supply Chain Optimization Technology (SCOT) is the core of the Amazon eCommerce business, which leverage science models and systems to automate the decisions and operations of the most complex supply chain in the world. Optimal Inventory Health (OIH) maximize the inventory value in Amazon through all the levers across traffic, marketing, pricing and reverse logistics.