Data Scientist 3

About the role

The Level 3 Data Scientist will leverage Python expertise to streamline processes and create insightful visualizations for data-driven decision-making.

Responsibilities

• Leverage Python expertise to streamline processes and create insightful visualizations for data-driven decision-making.
• Support to ONM for critical systems.
• Potential for collaboration with policy and decision markers.
• Scope projects and provide use cases for workflow integration.
• Translate practical mission needs and analytic questions related to large datasets into technical requirements.
• Aid others in drawing appropriate conclusions from the analysis of such data.
• Effectively communicate complex technical information to non-technical audiences.
• Made informed recommendations regarding competing technical solutions.
• Maintain awareness of the constantly shifting DOD collection, processing, storage and analytic capabilities and limitations.

Requirements

• Bachelor's Degree with 10 years of relevant experience.
• Associates degree with 12 years of relevant experience.
• Bachelor's Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence).
• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
• Experience in more than one area is strongly preferred.

Qualifications

• TS/SCI with polygraph is required.

Skills

• Python
• Excel
• SharePoint

Benefits

• Not specified

Pay

• Not specified

Schedule

• Not specified