Data Science Manager, Middle Mile Transportation

DESCRIPTION

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? Have you also wondered what are different ways that the transportation assets can be used to delight the customer even more. If so, the Amazon transportation Services, Product and Science is for you . We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner.

We are looking for an enthusiastic, customer obsessed, science leaders with strong scientific thinking, good statistics experience, skills to help manage projects and operations, improve metrics, and develop scalable processes and tools. The primary role of an Data Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how we operate the middle mile network.

Ideal candidates will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of operations research, machine learning , and the ability to use data and research to make changes.

This role requires robust skills in research and implementation of scalable products and models . This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment.

Responsibilities may include:

• Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations
• Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans
• Managing multiple projects simultaneously
• Working with technology teams and product managers to develop new tools and systems to support the growth of the business
• Communicating with and supporting various internal stakeholders and external audiences

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA

BASIC QUALIFICATIONS

• Master's degree
• 5+ years of applying statistical models for large-scale application and building automated analytical systems experience

PREFERRED QUALIFICATIONS

• PhD
• Knowledge of Python or R or other scripting language
• PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
• Experience in Managing a team of scientist and developing and delivering on a scientific road map

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $140,100/year in our lowest geographic market up to $272,400/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.