Senior Data Scientist Security Clearance

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.

• 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.
• Salary range: $135,000 - $210,000. Salary to be determined by the education, experience, knowledge, skills and the abilities of the applicant internal equity, and alignment with market data.

• 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, 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.

• 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 NETA
  1400 (Technology Fundamentals for Analysis); recommended completion of any of the following NSA Courses: NETA
  2402/NETA
  2108 (Analysis II), RPTG
  2238, RPTG
  2235, RPTG
  3225, RPTG
  3222 (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.

• Security clearance required TS/SCI w/ CI Polygraph.