Data Collection - 25%

• Collects raw data, exploring new data sources and building pipelines to access those data sources.

Data Analysis 25%

• Develops new methods and algorithms to achieve research objectives, including through the investigation of relationships between disparate datasets.

• Explores data sources to determine what data to target.

• Investigates invisible relationship between disparate data sets.

• Addresses key challenges by extracting insight from data.

• Identifies patterns and trends in data.

• Utilizes programming tools to perform data cleaning (cleansing).

Modeling - 25%

• Develops algorithms and models to quality control, gap fill, extrapolate, and predict supply chain behavior using disparate data sources.

• Builds and deploys predictive models to perform data analysis utilizing machine learning and other protocols.

Scientific Communication - 20%

• Documents and communicates findings using written and verbal scientific presentation and publication methods.

• Communicates team’s progress and findings to researchers, Principal Investigators and other research related staff utilizing data visualizations and comprehensive reports.

• Trains new staff and provides technical assistance to current non-senior level staff within the field. 

Other - 5%

• All other duties, including for example training, travel, and project management.

Minimum Qualifications:

Master’s degree in Computer Science, Civil Engineering, Economics, Data Science, Statistics, or a related field.

• 4+ years of relevant experience inclusive of additional graduate study and training beyond the M.S.

Preferred Qualifications:

PhD in Computer Science, Civil Engineering, Economics, Data Science, Statistics, or a related field.

• demonstrated excellence in data analysis, programming, visualization, and scientific writing and communication, in addition to specific experience analyzing supply chain and critical infrastructure data.

Salary:

Salary range begins at $72,445.  Annual salary commensurate with candidate's qualifications and related experience.

Immigration Support/Sponsorship:

NAU will not provide any U.S. immigration support or sponsorship for this position.

JOB ID 606665