paid / full-time / Seattle, Washington
DESCRIPTION
Are you interested in building statistical models that drives continuous improvement for Amazon’s global delivery operations? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing worldwide need? Then Middle Mile Technology is the team for you. We are part of building the world's fastest, most reliable, and lowest cost transportation network that provides customers the most control and are looking for a top notch Sr. Data Scientist.
As Sr. Data Scientist, you will work closely with other research scientists, machine-learning experts, and economists to design and run experiments, research new algorithms, and find new ways to improve performance across Middle Mile Planning and Optimization capabilities. These would span across demand forecasting, scheduling of trucks, driver procurement, and load routing.
You will have the opportunity to work across multiple problem spaces with a primary focus on models and insights that will redefine how we flow packages through the Middle Mile Network. You will be solving complex problems, working on difficult challenges in the data science space as the scale of our product portfolio grows. You will be responsible for generating new insights and recommendations to fuel new products and services features that will shape how the Middle Mile network evolves here at Amazon. You will simultaneously play an active role in translating business and functional requirements into concrete deliverables and working closely with the operations, product and software development teams to put solutions into production.
The ideal candidate will have extensive experience in science disciplines, business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities in sourcing processes. Excellent business and communication skills are a must to develop and define key business questions and to build data sets that answer those questions. You should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges. Further, you must have the ability to build and communicate compelling value propositions, and work across the organization to achieve consensus. This role requires a strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results.
The key strategic objectives for this role include:
- Understanding drivers, impacts, and key influences on decision-making within different sub-process.
- Optimizing work to improve customer experience and drive decision-making automation.
- Helping to build production systems that take inputs from multiple models and make decisions in real time.
- Automating feedback loops for algorithms in production.
- Utilizing Amazon systems and tools to effectively work with terabytes of data.
BASIC QUALIFICATIONS
- Masters in quantitative field (Computer Science, Mathematics, - Machine Learning, AI, Statistics, or equivalent)
- 5+ years of experience working in data science in a consumer product company.
- Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, recommendation systems, dialogue systems, information retrieval.
- Experience in programming in R, Python, Scala or similar languages and maintaining code repositories in git
- Experience with various machine learning/statistical modeling data analysis tools and techniques (e.g. sklearn, tensorflow, or keras), and parameters that affect their performance
- Experience in programming in R, Python, Scala or similar languages and maintaining code repositories in git
- Experience with data visualization and presentation, turning complex analysis into insight
- Advanced knowledge and expertise with Data modelling skills
- Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes
- Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
PREFERRED QUALIFICATIONS
- A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
- 10+ years of experience working in data science in a consumer product company
- Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, recommendation systems, dialogue systems, information retrieval.
- Skilled with Java, C++, or other programming language, as well as with R, SAS, Python or similar scripting language
· Experience with various machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance - Experience in programming in R, Python, Scala or similar languages and maintaining code repositories in git
- Experience with data visualization and presentation, turning complex analysis into insight
- Advanced knowledge and expertise with Data modelling skills
- Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes
- Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
- Advanced SQL with Oracle, MySQL, and Columnar Databases
- Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.
Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age