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Job DescriptionJob Description
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 security challenges. At Independent Software, you won’t just be writing code—you’ll be helping protect the nation by turning complex data into actionable intelligence. We foster a collaborative environment where innovation, purpose, and impact intersect. If you’re looking for a workplace that values both technical excellence and real-world mission relevance, you’ll thrive here.
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 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.
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LDHFWuHLFo
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 security challenges. At Independent Software, you won’t just be writing code—you’ll be helping protect the nation by turning complex data into actionable intelligence. We foster a collaborative environment where innovation, purpose, and impact intersect. If you’re looking for a workplace that values both technical excellence and real-world mission relevance, you’ll thrive here.
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 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.
Powered by JazzHR
LDHFWuHLFo