Data Scientist

Data Scientist
Company:

Amazon.Com Services Llc


Data Scientist

Details of the offer

Masters in Operations Research, Industrial Engineering, Applied Mathematics, or related quantitative discipline.
Deep understanding of optimization, simulation, and general data science techniques.
Experience in developing machine-learning algorithms, statistical and mathematical optimization models, and simulation and visualization tools.
Familiarity with managing disparate data sets; including, building and maintaining data flows and pipelines.
Experience with SQL and at least one scripting language (Python, R, etc.).
Exposure to big data: extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via

AWS technologies, SQL, and data pipelines.
Industry experience in defining and building metrics, performing business analysis, and quantifying decisions through the utilization of data.
Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences.

Does the thought of improving one of the world?s most complex logistic systems inspire you? Is your passion to sift through hundreds of systems, processes, and data sources to solve the puzzle and identify the next big opportunity? Are you a creative big thinker who is passionate about using data and optimization tools to direct decision making and solve complex and large-scale challenges? Are you fascinated by the interactions between operations and strategy? Do you feel like your skills uniquely qualify you to bridge communication between teams with competing priorities? If so, then this position is for you! Amazon's Modeling and Optimization team (MOP) is looking for a motivated individual with strong analytic and communication skills to join the effort in evolving the network we have today into the network we need tomorrow.
Amazon?s extensive logistics system is comprised of thousands of fixed infrastructure nodes, with millions of possible connections between them. Billions of packages flow through this network on a yearly basis, making the impact of optimal improvements unparalleled. This magnificent challenge is a terrific opportunity to analyze Amazon?s data and generate actionable recommendations using optimization and simulation. Come build with us!
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 consider the needs of day-to-day operations and insist on the standards required to build the network of tomorrow. Your job will straddle day-to-day decisions and strategic vision, 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 science groups in initial solution design, and audit all model implementation. A successful candidate in this position will have a background in communicating across significant differences, prioritizing competing requests, and quantifying decisions made.
The ideal candidate will demonstrate a deep understanding of identifying meaningful key performance indicators and building actionable metrics. This candidate is passionate about providing insights that drive larger initiatives and sees the undeniable value of a good metric. They are excited to be part of, and learn from, a large science community and are ready to dig into the details to find insights that direct decisions. The successful candidate will have good communication skills and an ability to speak at a level appropriate for the audience, will collaborate effectively with scientists, software development engineers, product managers, and hands on operators and will deliver business value in close partnership with many stakeholders from operations, finance, IT, research, and business leadership.
Masters in Operations Research, Industrial Engineering, Applied Mathematics, or related quantitative discipline.
Experience with processing, analyzing, and modeling with geo-spatial data.
Demonstrable experience in leveraging analytics to generate business value especially in related business sectors such as Logistics and Supply Chains, Transportation, and Engineering.
Fluency in a scripting or computing language (e.g. Python, R, Java, C++).
Experience with big data: extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via AWS technologies, SQL, and data pipelines.
Familiarity with Logistics/Supply Chain, or related Businesses.

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

Requirements


Knowledges:

  • SQL

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