Data Scientist 3

Gormat•Annapolis Junction, MD

About The Position

We are seeking a Data Scientist proficient in Python and experienced in automating workflows, data manipulation, and visualization using Jupyter Notebooks. This role involves leveraging Python expertise to streamline processes and create insightful visualizations for data-driven decision-making. The Level 3 Data Scientist shall possess the following capabilities: Foundations: (Mathematical, Computational, Statistical). Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility). Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations). Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in DOD data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting DOD collection, processing, storage and analytic capabilities and limitations. Support to ONM for critical systems. Potential for collaboration with policy and decision markers. Familiarity with excel, SharePoint, python, and an ability to scope projects/provide use cases for workflow integration. Experience with metrics, dashboards, and data visualizations will be beneficial.

Requirements

Proficient in Python.
Experience in automating workflows.
Experience in data manipulation.
Experience in visualization using Jupyter Notebooks.
Foundations in Mathematical, Computational, and Statistical concepts.
Data management and curation skills.
Data description and visualization skills.
Workflow and reproducibility skills.
Data modeling and assessment skills.
Domain-specific considerations.
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.
Software engineering.
TS/SCI with polygraph is required.

Nice To Haves

Experience with metrics, dashboards, and data visualizations will be beneficial.
Experience in more than one area of machine learning, data science, advanced analytical algorithms, programming, statistical analysis, data management, data mining, data modeling and assessment, artificial intelligence, and/or software engineering is strongly preferred.

Responsibilities

Devise strategies for extracting meaning and value from large datasets.
Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
Develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in DOD data holdings.
Translate practical mission needs and analytic questions related to large datasets into technical requirements.
Assist others with drawing appropriate conclusions from the analysis of such data.
Effectively communicate complex technical information to non-technical audiences.
Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting DOD collection, processing, storage and analytic capabilities and limitations.
Support to ONM for critical systems.
Potential for collaboration with policy and decision markers.
Scope projects/provide use cases for workflow integration.