Data Scientist 3

Gormat

5d

About The Position

We are seeking a Data Scientist with experience in SIGINT. This role requires compiling various data sources via computer scripting, statistical analysis, and data modeling along with proficiency with API interaction and reading/using/building tools to retrieve data. Python using Jupyter notebooks and Pandas proficiency is required and data visualization with Shapely, GeoPandas or Plotly is a plus. Proficiency with AMOD tools, any experience with networking, HTML with Bootstrap experience, or Pyodide experience are also a plus. You will be working in a team based setting, so a strong self starter is needed. Having experience with SIGINT data collection or completing military 450/451 courses is a plus.
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).
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, Shapely, GeoPandas is a plus.
XKS/DX proficiency and an understanding of 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 experience or background with SIGINT data collection is a plus.

Requirements

• Bachelor's Degree with 10 years of relevant experience, or associate's degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.
• Bachelor's Degree must be 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). College-level requirement, or upper-level math courses designated as elementary or basic do not count.
• Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on 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.
• Proficiency with Python using Jupyter notebooks and Pandas.
• Proficiency with API interaction; reading/using/building tools to retrieve data.
• Data frame and aggregation experience using Python.
• Strong self starter.
• TS/SCI with polygraph is required.

Nice To Haves

• Data visualization with Shapely, GeoPandas or Plotly.
• Proficiency with AMOD tools.
• Experience with networking.
• HTML with Bootstrap experience.
• Pyodide experience.
• Experience with SIGINT data collection.
• Completing military 450/451 courses.
• Data Visualization capabilities with Plotly, Shapely, GeoPandas.
• XKS/DX proficiency and an understanding of dataflow.
• Splunk, SQL, Elastic, Kibana or Networking experience.
• Front end web development using bootstrap (HTML) or Pyodide.

Responsibilities

• Compile various data sources via computer scripting, statistical analysis, and data modeling.
• Proficiency with API interaction; reading/using/building tools to retrieve data.
• Data frame and aggregation experience 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 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.
• Assist others with drawing appropriate conclusions from the analysis of such data.
• Effectively communicate complex technical information to non-technical audiences.
• Leverage AI/ML techniques for optimization, automation and collection processing.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees