Data Scientist - GEOINT Analysis

Assertive Professionals; Colorado Springs (CO); On-site; USD 144,000 - 176,000; Full time

Benefits offered by this job

PTO

401(k) Match 5%

Profit Sharing

Life Insurance

Dental

Vision

STD/LTD

National Medical Plan

Sign-on bonus

Job summary

Assertive Professionals is seeking a Data Scientist to support a National Security program in Colorado Springs, CO. The role offers a $160,000 salary with a $2,000 sign-on bonus or relocation assistance.

Responsibilities include conducting data science on structured and unstructured data to streamline intelligence analysis, enriching results, and developing Python code to meet mission requirements. TS/SCI w/ CI Poly and 7+ years of experience are required.

Qualifications

• TS/SCI w/ CI Poly clearance.
• 7 years of relevant experience.
• Knowledge of computer science concepts, data architecture, intelligence practices, and big‑data management.
• Expert Python; proficient with Jupyter Notebooks/Labs.
• Write Python scripts in IDEs such as VS Code, Spyder, PyScript, or Jupyter.
• Develop algorithms/models to solve complex intelligence problems; automate data processes.
• Debug/refactor Python code for security, functionality, and compatibility; adhere to PE P‑8 and standards.
• Document code with block comments; ensure readability and recoverability.
• Collaborate across multi‑discipline teams to connect data sources and business problems.
• Identify insights, interpret data, and communicate findings to stakeholders.
• Analyze requirements; evaluate NLP, ML, predictive modeling, statistics, and hypothesis testing.
• Stay aware of emerging analytics and big‑data tech.
• Complete NSA NETA1400; recommended NETA2402/NETA2108 and related courses.
• Pursue DASCA (ABDE/ABDA/SDS), Google Data Analytics, IBM Data Science certificates.

Responsibilities

• Conduct data science on structured and unstructured data to support intelligence analysis.
• Enrich analytical results and develop/maintain Python code for mission requirements.

Skills

Python

Jupyter Notebooks

Data analysis

Machine Learning

NLP

Statistical analysis

Hypothesis testing

Big data concepts

Algorithms

Education

TS/SCI w/ CI Poly

Tools

VS Code

Spyder

PyScript

Job description

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

This is a proposed position, we are offering a salary of $160,000 with a $2,000 sign-on bonus, or reimbursable relocation.

This is a great opportunity to work for an employee-centric, fast-growing small business. We offer an excellent benefits package, including PTO (accrual rates vary by contract and customer requirements), 401(k) Match at 5%, Profit Sharing, Company-paid Life Insurance, Dental, Vision, STD/LTD, and two options under a national medical plan with employee contribution. There is an additional $1,200 annual corporate bonus for time and attendance compliance!

Responsibilities Include:

This position is responsible for conducting data science functions on structured and unstructured data to streamline intelligence analysis and production. The data scientist will work to enrich analytical results and will develop and maintain Python code in support of mission requirements.

Required Experience and Qualifications:

• TS/SCI w/ CI Poly
• 7 years of relevent 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.
• 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, querytechniques, 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.
• 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, NETA3222 (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.

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