Data Scientist, Level 3 with Security Clearance

What you will be doing. As a Data Scientist (Level 3) with Independent Software, you will play a mission-critical role in applying data science expertise to complex national security challenges. Your proficiency in Python, workflow automation, data manipulation, and visualization-particularly within Jupyter Notebooks-will directly support data-driven decision-making and operational efficiency. You will contribute to developing analytical tools, generating impactful insights, and delivering sophisticated visualizations that shape strategic and tactical outcomes. Key Responsibilities You will apply a blend of skills across at least two of the following domains: Foundations: Mathematical, statistical, and computational theory and application Data Processing: Data curation, transformation, visualization, reproducibility, and pipeline automation Modeling & Prediction: Statistical modeling, inference, forecasting, and domain-specific analytics Additional expectations include: Drawing conclusions from large, complex datasets using a combination of mathematical, statistical, and domain knowledge Developing and applying analytic models and quantitative techniques tailored to unstructured or incomplete datasets, often with unique national security constraints Translating mission and analytical requirements into technical data specifications and guiding others on interpreting results Effectively conveying complex technical concepts to diverse audiences, including non-technical stakeholders Required Education & Experience Minimum Qualifications (One of the following): Master's degree with 8+ years of relevant experience Bachelor's degree with 10+ years of relevant experience Associate degree with 12+ years of relevant experience Acceptable Degree Fields: Mathematics, Applied Mathematics, Statistics, Machine Learning, Data Science, Operations Research, or Computer Science Related fields (e.g., Computer Information Systems, Engineering, Physical Sciences) with a strong computational focus Other scientific disciplines may qualify if accompanied by 5 or more upper-level courses in mathematics (300-level or higher) and/or computer science Broader degrees may be accepted if supported by a Data Science Certificate from an accredited institution Required Technical Experience Proficient in Python and familiar with Jupyter Notebooks Strong background in machine learning, statistical modeling, and algorithm development Hands-on experience with data cleaning, transformation, and analysis of large datasets Experience with exploratory data analysis, hypothesis testing, and inference modeling Knowledge of AI/ML frameworks, data mining, and software engineering principles Clearance Required: Must possess an active TS/SCI with Polygraph security clearance to be considered for this role . Independent Software is an Equal Opportunity Employer EOE, M/F/D/V.