Job Description:

Data Scientist, Intermediate OR Data Scientist, Senior

 

Location: SICCS

 

Regular/Temporary: Regular

 

Job ID: 606665

 

Full/Part Time: Full-Time

 

Workplace Culture

 

NAU is a community devoted to student success and sustained by an unshakable commitment to our shared mission, vision, and values. We—faculty, staff, and administrators—thrive by combining our efforts and working side by side to further NAU’s culture of excellence.

 

https://nau.edu/strategic-plan-2025/

 

Special Information

 

This position is subject to the availability of funding. The incumbent is not eligible for Service Professional non-renewal notice, or Classified Staff layoff or recall status.

 

Job Description

 

Northern Arizona University in beautiful Flagstaff, Arizona a top college mountain town, a seeks a Data Scientist, Intermediate OR Data Scientist, Senior to lead research on North American supply chains and critical infrastructures, and in particular on the use of open-source data fusion techniques to map and model those systems. This work is engaging, inventive and consequential.

 

The work involves data science, modeling, supply chain analysis, and related software workflow development and quantitative analysis in support of the FEWSION project, a large interdisciplinary team leading data science research for strategic supply chains and related policy.

 

Data Scientist, Intermediate

 

The Data Scientist, Intermediate is responsible for analyzing, storing, and managing research data, including statistical analysis, informatics, and software design. They will obtain, organize, analyze, and transform big data into findings through statistical data analysis. The intermediate position utilizes computer and data science concepts, computational research, and development principles to contribute to research objectives. The Data Scientist, Intermediate presents data through the use of visual representations to members of a team, including non-technology professionals.

 

Data Collection – 25%

 

• Collects raw data, explores new data sources, and builds pipelines to access those data sources.

 

Data Analysis 25%

 

• Assists in developing 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.
• Helps address key challenges by extracting insight from data.
• Identifies patterns and trends in data.
• Utilizes programming tools to perform data cleaning (cleansing).

 

Modeling – 25%

 

• Helps develop algorithms and models to quality control, gap fill, extrapolate, and predict supply chain behavior using disparate data sources.
• Assists in building and deploying 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.

 

Other – 5%

 

• Other duties as assigned.

 

Data Scientist, Senior

 

The Data Scientist, Senior analyzes, stores, and manages research data, including statistical analysis, informatics, and software design. They will lead the obtainment, organization, analysis, and transformation of data into findings through statistical data analysis. The senior position utilizes computer and data science concepts, computational research, and development principles to contribute to research objectives. The Data Scientist, Senior serves as a lead presenter of data through the use of visual representations to members of a team, including non-technology professionals.

 

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

 

Data Scientist, Intermediate

 

• Bachelor’s Degree in computer science, Civil Engineering, Economics, Data Science, Statistics, or a related field.
• 2-4 years of research support experience.
• A combination of related education, experience, and training may be used as an equivalent to the above Minimum Requirements.

 

Data Scientist, Senior

 

• 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.
• A combination of related education, experience, and training may be used as an equivalent to the above Minimum Requirements.

 

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.

 

Knowledge, Skills, & Abilities

 

Knowledge

 

• Knowledge of statistical concepts and calculations.
• Knowledge of machine-learning and data mining.
• Knowledge of cloud computing and data warehousing.

 

Skills

 

• Proficiency with statistical analysis and big data tools.
• Proficiency with data related software development technologies.
• Customer service skills.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).

 

Abilities

 

• Establishes and maintains effective working relationships.
• Communicates effectively, including the ability to communicate technical information to both technical and nontechnical audiences.
• Possesses strong problem solving, organizational, and analytical capabilities.
• Promotes a diverse, inclusive environment

 

Background Information

 

Northern Arizona University requires satisfactory results for the following: a criminal background investigation, an employment history verification and a degree verification (in some cases) prior to employment. You may also be required to complete a fingerprint background check. Additionally, as an employer in the state of Arizona, NAU is required to participate in the federal E-Verify program that assists employers with verifying new employees’ right to work in the United States. Finally, each year Northern Arizona University releases an https://in.nau.edu/police-department/annual-security-and-fire-safety-reports/. The report is a result of a federal law known as the Clery Act. The report includes Clery reportable crime statistics for the three most recent completed calendar years and discloses procedures, practices and programs NAU uses to keep students and employees safe including how to report crimes or other emergencies occurring on campus. In addition, the https://in.nau.edu/police-department/annual-security-and-fire-safety-reports/ is combined with the Annual Security Report for the NAU Flagstaff Mountain Campus as this campus has on-campus student housing. This report discloses fire safety policies and procedures related to on-campus student housing and statistics for fires that occurred in those facilities. If you would like a free paper copy of the report, please contact the NAUPD Records Department at (928) 523-8884 or by visiting the department at 525 E. Pine Knoll Drive in Flagstaff.

 

Salary

 

Data Scientist, Intermediate

 

Salary range begins at $62,996. Annual salary commensurate with candidate’s qualifications and related experience.

 

Data Scientist, Senior

 

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

 

FLSA Status

 

This position is exempt from the overtime provisions of the Fair Labor Standards Act (FLSA) and therefore will not earn overtime or compensatory time for additional time worked.

 

Benefits

 

This is a Service Professional (SPF) position. NAU offers an excellent benefit package including generous health, dental and vision insurance; participation in the Arizona State Retirement System or the Optional Retirement Program; 22 days of vacation and 10 holidays per year; and tuition reduction for employees and qualified dependents. More information on benefits at NAU is available on the https://in.nau.edu/human-resources/eligibility-enrollment/. NAU is a tobacco and smoke-free campus. Service Professionals are hired on a contract basis, renewable each 6 months according to https://public.azregents.edu/Policy%20Manual/6-303%20Conditions%20of%20Service%20for%20Service%20Professionals.pdf. Employees offered a position will be eligible for state health plans (including NAU’s BCBS Plan). New employees are https://in.nau.edu/human-resources/eligibility-enrollment/ on the first day of the pay period following their enrollment, after their employment date. Employees will have 31 days from their start date to enroll in benefits. If a new employee chooses the ASRS retirement option, participation in the Arizona State Retirement System, and the long-term disability coverage that accompanies it, will begin on the first of the pay period following 6 months after the new employee’s start date. New employees who choose to participate in the Optional Retirement Plan (ORP), which is an alternative to the ASRS plan for faculty and other appointed staff, will begin to participate on the first day of employment. Additionally, the long-term disability plan that accompanies the ORP will begin on the first day of employment.

 

Learning and Development

 

Your career at Northern Arizona University includes the opportunity for professional development. https://in.nau.edu/Human-Resources/Required/ includes courses to be completed within the first 30 days.

 

Immigration Suppt/Sponsorship

 

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

 

Application Deadline

 

January 31, 2023 at 11:59 p.m.

 

How to Apply

 

To apply for this position, please click on the “Apply” button on this page. You must submit your application by clicking on the “Submit” button by midnight of the application deadline. If you need assistance completing your application there are instructions available on the https://in.nau.edu/human-resources/or in person in the Human Resources Department located in Building 91 on the NAU Campus – on the corner of Beaver and DuPont Streets.

 

If you are an individual with a disability and need reasonable accommodation to participate in the hiring process please contact the Office of Equity and Access at: 928-523-3312/TDD – 928-523-1006 or PO Box 4083, Flagstaff AZ 86011.

 

Equal Employment Opportunity

 

Northern Arizona University is a committed Equal Opportunity/Affirmative Action Institution. Women, minorities, veterans and individuals with disabilities are encouraged to apply. NAU is responsive to the needs of dual career couples.

 

https://in.nau.edu/Human-Resources/Posters-Required-by-Law/

 

NAU is an Employer of National Service. AmeriCorps, Peace Corps, and other National Service alumni are encouraged to apply.

 

To apply, visit https://apptrkr.com/3778964

 

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