Data Scientist, Amazon Transportation Services

Seattle, Washington, USA

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Posted 1 month ago


Amazon Transportation Services (ATS) Line Haul is looking for a talented Data Scientist who will own analytics and develop solutions to drive insights and optimization for Network Planning and Forecasting. As a member of this team, you will have an opportunity to be an innovator in Amazon Logistics and work with a group of talented program managers, product managers, research scientists, software developers, and business stakeholders to design the Amazon network of the future.

This position requires innovative thinking, ability to quickly approach large ambiguous problems, technical and engineering expertise to rapidly research, validate, visualize, prototype and deliver solutions. This position also requires significant cross functional work and integration with transportation, tech, operations and finance. Successful candidates will thrive in a fast-paced environment.

As you further your career as a Data Scientist at Amazon, you will focus on improving corporate reporting frameworks and data visualization. You will examine performance data, discover and solve real world problems related to forecasting, and build critical metrics and business cases. We are focused on your success and want to build and support strong pioneers within Amazon Transportation Services. You can expect to leverage your problem solving skills and have full ownership of the projects you work on.

· Perform complex data research to identify opportunities to reduce fulfillment costs as well as improve efficiencies and customer experience
· Design, develop and establish KPIs to provide strategic insights to drive growth and performance
· Ability to perform/own reoccurring and ad-hoc business intelligence projects, including the development of advanced statistical models that improve the forecasting capabilities of the Amazon transportation network
· Develop standardized metrics to evaluate and benchmark pertaining to short and long term network planning and forecasting
· Communicate complex insights to stakeholders, both verbally and in writing

Basic Qualifications

· Bachelor’s degree in quantitative field such as mathematics, industrial engineering, Statistics and 2+ years experience in data science/related field
· Experience in writing SQL queries and mining databases
· Experience using multiple programming languages (e.g. Python, Java, C++, C#, Ruby)
· Experience using applied statistics to solve business use cases

Preferred Qualifications

· Masters Degree in Analytics, Supply Chain Engineering or related field
· Experience in supply chain, transportation planning
· Advanced knowledge in scripting with R and or Python
· Experience in forecasting analytics, Machine Learning, and advanced statistics
· Advanced knowledge in building visualizations in Tableau, quicksight, and other dashboarding technology suites
· Demonstrated ability to work in a fast-paced deadline-oriented work environment
· Advanced skills in Microsoft Excel
· Able to work in a diverse team

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: Business Intelligence Engineering Finance Industrial Java Machine Learning Python R Research Ruby SQL Tableau