Data Scientist 4

Gormat•Annapolis Junction, MD

About The Position

Gormat is seeking a Data Scientist with experience leveraging AI/ML techniques for optimization, automation, and collection processing, and a willingness to teach AI/ML skills to more junior Data Scientists. You will need to be proficient with API interaction including reading/using/building tools to retrieve data. Experience with Pandas data frames and aggregation using Python is required. Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow, and Splunk, Kibana, SQL, ELK stack, or Networking experience is a plus. Front end web development using BootStrap (HTML) or Pyodide is a plus. The Level 4 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). Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. Ability to use 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 feature and limitations inherent in Government 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. Experience leveraging AI/ML techniques for optimization, automation and collection processing (Willing to send to courses to teach as a tradeoff for a strong DS without it). Requires proficiency with API interaction; reading/using/building tools to retrieve data. Data frame and aggregation experience using Python is required. Data Visualization capabilities with Plotly, Sharpely, GeoPandas is a plus. XKS/DX proficiency and an understanding for dataflow is a plus. Splunk, SQL, Elastic, Kibana or Networking experience is a plus. Front end web development using bootstrap (HTML) or Pyodide are also a plus. Having Expereince or background with SIGINT data collection is a plus.

Requirements

Proficiency with API interaction; reading/using/building tools to retrieve data.
Experience with Pandas data frames and aggregation using Python.
Foundations in Mathematics, Computation, and Statistics.
Data management and curation skills.
Data description and visualization skills.
Workflow and reproducibility understanding.
Data modeling and assessment skills.
Domain-specific considerations understanding.
Ability to make and communicate principal conclusions from data.
Ability to use analytic modeling, statistical analysis, programming, and/or other appropriate scientific methods.
Ability to develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets.
Ability to translate practical mission needs and analytic questions into technical requirements.
Ability to assist others with drawing appropriate conclusions from data analysis.
Ability to effectively communicate complex technical information to non-technical audiences.
Experience leveraging AI/ML techniques for optimization, automation and collection processing.
Proficiency with Python.
Experience with statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models).
Experience with data management (e.g. data cleaning and transformation).
Experience with data mining.
Experience with data modeling and assessment.
Experience with artificial intelligence.
Experience with software engineering.
TS/SCI with polygraph clearance.

Nice To Haves

Willingness to teach AI/ML skills to more junior Data Scientists.
Data visualization capabilities with Plotly, Shapely, or GeoPandas.
AMOD tool proficiency.
Understanding of dataflow.
Splunk, Kibana, SQL, ELK stack, or Networking experience.
Front end web development using BootStrap (HTML) or Pyodide.
Experience or background with SIGINT data collection.

Responsibilities

Leverage AI/ML techniques for optimization, automation, and collection processing.
Teach AI/ML skills to more junior Data Scientists.
Interact with APIs, including reading/using/building tools to retrieve data.
Perform data frame and aggregation using Python.
Make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.
Use analytic modeling, statistical analysis, programming, and/or other appropriate scientific methods.
Develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets.
Translate practical mission needs and analytic questions into technical requirements.
Assist others with drawing appropriate conclusions from data analysis.
Effectively communicate complex technical information to non-technical audiences.
Apply and develop best tradecraft practices for deep analysis of network-centric data.
Extract actionable intelligence, including pattern recognition and attribution.