Data Scientist

Job description

DESCRIPTION

Are you interested in applying your strong quantitative analysis and big data skills to world-changing problems? Are you interested in driving the development of methods, models and systems for strategy planning, transportation and fulfillment network? If so, then this is the job for you.

Emerging Country Operations Support team (ECOS) is looking for a Data Scientist with strong analytical and communication skills to join our team. ECOS is supporting business growth, automation and standardization in systems and processes management for emerging countries as China, Australia, and Middle East.

Amazon is growing rapidly and because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of operations, our main focus is in the development of strategic models and automation tools fed by our massive amounts of available data. You will be responsible for building these models/tools that improve the economics of Amazon's worldwide fulfillment networks in emerging countries as Amazon increases the speed and decreases the cost to deliver products to customers. You will identify and evaluate opportunities to reduce variable costs by improving fulfillment center processes, transportation operations and scheduling, and the execution to operational plans. You will also improve the efficiency of capital investment by helping the fulfillment centers to improve storage utilization and the effective use of automation. Finally, you will help create the metrics to quantify improvements to the fulfillment costs (e.g., transportation and labor costs) resulting from the application of these optimization models and tools.

Major responsibilities include:

· Translating business questions and concerns into specific analytical questions that can be answered with available data using statistical methods; working with engineers to produce the required data when it is not available.
· Apply Statistical and Machine Learning methods to specific business problems and data.
· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
· Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.
· Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.
· Work with engineers to develop efficient data querying and modeling infrastructure.
· Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time.
· Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical models.

Desired profile

BASIC QUALIFICATIONS

· Bachelor or Master's Degree in Data Science, Analytics, Engineering, Computer Science, Math, Statistics, Logistics or related industry experience.
· 3+ years of hands on experience with statistical analysis, applying various machine learning techniques, predictive modeling and data mining.
· 3+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab).
· Experience articulating business questions and using quantitative techniques to arrive at a solution using available data.
· Excellent written, verbal, listening and communication skills in English and Chinese.