Data Scientist

Seattle, Washington, USA

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Posted 2 weeks ago

Looking for your next challenge? North America Sort Centers (NASC) are experiencing explosive growth and looking for a skilled, highly motivated engineers to join the NASC SPEeD (Sortation Products Engineering and Data) team. The Sort Center network is the critical Middle-Mile solution in the Amazon Transportation Services (ATS) group, linking Fulfillment Centers to the Last Mile. The experience of our customers is dependent on our ability to efficiently execute volume flow through the middle-mile network. The SPEeD team is expected to build scalable solutions to address increasing operational complexity from the evolution of new processes such as containerization, heavy-bulky freight, international shipping, customer returns, and Amazon Robotics solutions. We need to continuously innovate on behalf of our customers and develop new platforms and new science-based planning tools to efficiently match processing supply to logistics demand.

Our mission is to build the most efficient and optimal sort center solution on the planet, using our technology and engineering as our biggest advantage. We aim to leverage cutting edge technologies in big data, machine learning, and optimization techniques, and operate high volume, low latency, and high availability services. Come and see for yourself why we are one of the most admired company in the US, rated #1 in Innovation and # 1 in Customer Service, and be part of our tradition of working hard, having fun and making history!

This is an entirely new initiative and great development opportunity which gives you the ability to come and shape our destiny! You will build new services and experiences and will work with new technologies that improve usability and increase performance and scalability. You will have an opportunity to work with a wide range of teams and services across Amazon. Also, you will have an opportunity to get guidance from principal product managers and senior engineers to help with your professional growth and development.

We prefer engineers who can thrive in a fast paced, high energy and fun work environment where we deliver value incrementally and frequently.

Basic Qualifications

· Masters with two years of experience or a Bachelors degree in Statistics, Applied Math, Operations Research, Economics, Engineering or a related quantitative field with five years of working experience as a Data Scientist
· Experience with statistical analysis, data modeling, optimizations, regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling
· Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
· Experience in Statistical Software such as R, Weka, SAS, SPSS
· Proficiency with TABLEAU or other web based interfaces to create graphic-rich customizable plots, charts data maps etc
· Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL)
· Experience using one or more Python, R, Java, C++ VBA, MATLAB, programming languages
· Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data

Preferred Qualifications

· Previous experience in ML, data scientist or optimization engineer role with a large technology company
· Familiarity with the processes used in Amazon fulfillment network
· Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
· Experience in creating data driven visualizations to describe an end-to-end system
· Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research and business backgrounds.

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

We believe passionately that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, sexual orientation, race, religion or belief.

Job tags: Big Data Data Mining Economics Engineering Java Machine Learning Matlab ML MySQL Python R Redshift Research Robotics SQL Tableau
Job region(s): North America
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