Data Scientist

Job ID: 1187666 | Amazon.com Services LLC

DESCRIPTION

Job Description
Amazon's North America Sort Center team is looking for an experienced and motivated Data Scientist with proven ability to develop, enhance, automate, and manage forecasting and cutting edge prediction and learning/Artificial Intelligence models using strong quantitative skills. The successful candidate will have strong data mining, statistical modeling, machine learning skills and is comfortable facilitating ideation and working from concept through to execution.
The position will partner with Engineering, Field Operations, Performance, Last Mile Delivery, Topology, Finance and Technology teams to enhance short term and long term prediction volume prediction and risk models that use a range of data science methodologies to automate data analysis or to solve complex business problems for the Sort Center network. Responsibilities include building automated tools and support structures needed to analyze data, design metrics for complex systems, dive deep to determine root cause of forecast errors & changes, create statistical definition of the outliers and methodologies to systematically identify and mitigate model variance drivers.
A qualified candidate must have demonstrated ability to develop and manage medium to large-scale forecasting models and methodologies that are statistically grounded but also functional and practical. Must possess strong written and verbal communication skills, proven ability to engage and collaborate with customers to drive improvements. Possess high intellectual curiosity with ability to quickly learn new concepts/frameworks, algorithms and technology.
Additional Responsibilities include:
· Research machine learning algorithms and implement by tailoring to particular business needs and test on large datasets.
· Manipulating/mining data from databases (Redshift, SQL Server, Oracle DW)
· Create automated metrics using complex databases
· Providing analytical network support to improve quality and standard work results
· Root cause research to identify process breakdowns within departments and providing data through use of various skill sets to find solutions to breakdown
· Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality
· Foster culture of continuous engineering improvement through mentoring, feedback, and metrics
Qualifications
· Masters with two years of experience or a Bachelors degree in Statistics, Applied Math, Operations Research, Economics, Engineering or a related quantitative field with five years of working experience as a Data Scientist
· Experience with statistical analysis, data modeling, regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling
· Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
· Experience in Statistical Software such as R, Weka, SAS, SPSS
· Proficiency with TABLEAU/R Shiny/Dash or other web based interfaces to create graphic-rich customizable plots, charts data maps etc
· Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL)
· Experience using one or more Python, R, Java, C++ VBA, MATLAB, programming languages
· Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data
Preferred Qualifications
· Previous experience in a ML or data scientist role with a large technology company
· Familiarity with the processes used in Amazon fulfillment network
· Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
· Experience in creating data driven visualizations to describe an end-to-end system
· Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research and business backgrounds.
· Experience with Amazon Quality operations and/or Standard Work

Amazon is an Equal Opportunity-Affirmative Action Employer- Female/Minority/Disability/Vet

BASIC QUALIFICATIONS

· Masters with two years of experience or a Bachelors degree in Statistics, Applied Math, Operations Research, Economics, Engineering or a related quantitative field with five years of working experience as a Data Scientist
· Experience with statistical analysis, data modeling, regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling
· Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
· Experience in Statistical Software such as R, Weka, SAS, SPSS
· Proficiency with TABLEAU/R Shiny/Dash or other web based interfaces to create graphic-rich customizable plots, charts data maps etc
· Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL)
· Experience using one or more Python, R, Java, C++ VBA, MATLAB, programming languages
· Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data

PREFERRED QUALIFICATIONS

· Previous experience in a ML or data scientist role with a large technology company
· Familiarity with the processes used in Amazon fulfillment network
· Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
· Experience in creating data driven visualizations to describe an end-to-end system
· Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research and business backgrounds.
· Experience with Amazon Quality operations and/or Standard Work