Senior Data Scientist

Prescient Edge is seeking a Senior Data Scientist to support a federal government client.

Please note that the availability of this position is contingent upon.

Benefits:

At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:

• A competitive salary with performance bonus opportunities.
• Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
• A substantial retirement plan with no vesting schedule. Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
• A positive work environment where employees are respected, supported, and engaged.

Description:

• Conduct data science functions on structured and unstructured data to streamline intelligence analysis and production, enrich results, and develop and maintain Python code.
• Author cogent and logical scripts using Python and other applicable languages in a virtual environment using common Integrated Development Environments (IDE) such as VS Code, Spyder, PyScript, or Jupyter Notebooks.
• Design and develop methods, processes, and systems to consolidate and analyze structured and unstructured data from diverse sources including "big data" sources using Python; demonstrate expert knowledge of Pandas and geospatial functions within Python.
• Develop and use advanced software programs, algorithms, query
• Perform research on various data sources, including structured and unstructured data using quantitative and qualitative metadata and content analytics.
• Construct and perform complex database queries in multiple SIGINT databases and Application Programming Interface (API) interfaces utilizing Python and other applicable computer languages.
• Techniques, models to solve complex intelligence problems, and automated processes to normalize, integrate, and evaluate data.
• Debug existing and future Python code; refactor legacy code to ensure continued security, functionality, and compatibility.
• Document and block-comment all code to ensure recoverability and error-checking, and enhance reading, checking, and maintaining code in accordance with common data science and coding standards, such as PEP-8 for Python,5 or using style-guide features embedded in common IDE applications, such as Spyder, VS Code, PyScript or others upon approval by the Government.
• Demonstrate knowledge of NSA data architecture, Application Programming Interfaces (APIs), and analyst tools.
• Collaborate across multi-discipline teams to ensure connectivity between various data sources and business problems.
• Identify meaningful insights, interpret, and communicate findings, plus make recommendations to stakeholders.
• Analyze requirements and evaluate technologies for data science capabilities including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing.
• Maintain awareness of emerging analytics and big-data technologies.