Data Scientist - Signal Analysis

Assertive Professionals is seeking a Data Scientist supporting our National Security customer in Colorado Springs, CO. This is a proposed position.

Pay

$160,000 with a $2,000 sign-on bonus, or reimbursable relocation. There is an additional $1,200 annual corporate bonus for time and attendance compliance.

Benefits

• PTO (accrual rates vary by contract and customer requirements)
• 401(k) Match at 5%
• Profit Sharing
• Company-paid Life Insurance
• Dental and Vision coverage
• Short-Term and Long-Term Disability (STD/LTD)
• Two options under a national medical plan with employee contribution

Responsibilities

• Conduct data science functions on structured and unstructured data to streamline intelligence analysis and production
• Enrich analytical results and develop and maintain Python code in support of mission requirements
• 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
• Develop and use advanced software programs, algorithms, query 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
• 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
• Complete required course NSA NETA1400 (Technology Fundamentals for Analysis); recommended completion of any of the following NSA Courses: NETA2402/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

Requirements

• TS/SCI with CI Poly clearance
• 7 years of relevant experience
• 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 JupyterLabs