Data Scientist II, QuBIT - NACF
DESCRIPTION:
Amazon's Quantitative Business Intelligence Tools (QuBIT) team is looking for motivated individuals with strong analytical and science skills to evolve one of the most complex supply-chain systems in the world.
Amazon's supply-chain comprises 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 truly innovative. This job offers an opportunity to analyze Amazon data and understand, model, optimize, and reshape one of the world's most supply-chains.
Your main focus will be on developing predictive and optimization models to guide operations planning decisions for the rapidly evolving and complex inbound network for Amazon. You'll analyze large amount of data to identify and evaluate opportunities to improve customer experience, network speed, cost and efficiency; and presenting the results to non-technical audience with the aid of visualization tools. You'll work with transportation, efficiency and packaging data-flow through real-time systems, and use it to power machine learning algorithms. You will leverage optimization approaches to evaluate trade-offs between potentially competing business objectives and improve decision-making. You will identify effective metrics to quantify the improvements resulting from the application of your developed tools and solutions.
The ideal candidate will demonstrate deep understanding of statistical and machine learning concepts, technical skills for leveraging analytical tools to solve large scale problems, aptitude to remain abreast with data science related technologies and excitement to take iterative approaches to tackle long-term challenges. The successful candidate will have good communication skills and ability to speak at a level appropriate for the audience; will collaborate effectively with fellow scientists, data/software engineers, and product/program managers; and will deliver business value in a close partnership with many stakeholders from operations, finance and software-engineering.
About the team
The science team within QuBIT-NACF comprises data and applied scientists coming from a diverse background! Our mission is to continuously evolve our operations by developing robust and well-researched science solutions. Outside of constantly adding business value through those solutions, our team keeps abreast of evolving science field by learning new concepts and algorithms dedicatedly every week, and we share the knowledge across team members through monthly learning sessions! We celebrate our team's successes either in weekly happy hours or in monthly team-outings!
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA
BASIC QUALIFICATIONS:
- 3+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
PREFERRED QUALIFICATIONS:
- Experience in Python, Perl, or another scripting language- Experience in a ML or data scientist role with a large technology company
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 $111,600/year in our lowest geographic market up to $212,800/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.
