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Job Location: Flagstaff, AZ
Job Detail:
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.
Minimum Qualifications
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
Job Type: Full-time
Pay: From $75,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Vision insurance
Schedule:
- Monday to Friday
Work Location: Remote
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