Senior Data Scientist

Prescient Edge • Colorado Springs, CO

33d • Onsite

About The Position

Prescient Edge is seeking a Senior Data Scientist to support a federal government client. This role involves conducting data science functions on structured and unstructured data to streamline intelligence analysis and production, enrich results, and develop and maintain Python code. The position requires authoring 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. The Senior Data Scientist will design and develop methods, processes, and systems to consolidate and analyze structured and unstructured data from diverse sources, including "big data" sources, demonstrating expert knowledge of Pandas and geospatial functions within Python. They will develop and use advanced software programs, algorithms, and query techniques, models to solve complex intelligence problems, and automated processes to normalize, integrate, and evaluate data. Research on various data sources, including structured and unstructured data using quantitative and qualitative metadata and content analytics will be performed. Complex database queries in multiple SIGINT databases and Application Programming Interface (API) interfaces will be constructed and performed utilizing Python and other applicable computer languages. Debugging existing and future Python code, and refactoring legacy code to ensure continued security, functionality, and compatibility are key responsibilities. All code must be documented and block-commented 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, or using style-guide features embedded in common IDE applications. Knowledge of NSA data architecture, Application Programming Interfaces (APIs), and analyst tools is required. Collaboration across multi-discipline teams to ensure connectivity between various data sources and business problems is essential. Identifying meaningful insights, interpreting and communicating findings, and making recommendations to stakeholders are crucial. Analyzing requirements and evaluating technologies for data science capabilities including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing will be part of the role. Maintaining awareness of emerging analytics and big-data technologies is also required.

Requirements

• Over 10 years of relevant experience.
• Advanced knowledge of Python and other relevant languages.
• Relevant STEM degree and/or cyber certifications.
• Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment.
• Demonstrate expert knowledge of Python, and Jupyter Notebooks and/or Jupyter Labs.
• Associate’s degree or higher in a cyber or relevant STEM discipline.
• Complete required course NSA NETA1400 (Technology Fundamentals for Analysis).
• Security clearance required TS/SCI w/ CI Polygraph

Nice To Haves

• Recommended completion of any of the following NSA Courses: NETA2108 (Analysis II), RPTG2238, RPTG2235, RPTG3225, RPTG3222 (Basic Analytical Reporting) or equivalent curriculum.
• Complete recommended certifications: Data Science Council of America (DASCA) certifications, such as Associate Big Data Engineer (ABDE), Associate Big Data Analyst (ABDA), and Senior Data Scientist (SDS); Google Data Analytics Professional Certificate; IBM Data Science Professional Certification.

Responsibilities

• 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 techniques, and models to solve complex intelligence problems, and automated processes to normalize, integrate, and evaluate data.
• 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.
• 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, or using style-guide features embedded in common IDE applications.
• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree