Data Scientist, Level 4

Independent Software•Annapolis Junction, MD

32d

About The Position

As a Data Scientist Level 4 with Independent Software, you will play a mission-critical role in applying advanced data science techniques to complex national security challenges. In this role, you will leverage your expertise in Python, workflow automation, data manipulation, and visualization—particularly within Jupyter Notebooks—to support data-driven decision making and operational efficiency. You will work closely with mission teams to transform complex and often incomplete datasets into actionable intelligence. This includes developing analytical tools, generating meaningful insights, creating impactful visualizations, and optimizing data pipelines. You will also apply your background in SIGINT and experience with RF or PROFORMA data to enhance analytical capabilities and mission outcomes. At Independent Software, you will work in a collaborative environment where innovation, technical excellence, and mission impact intersect, helping protect national security through advanced analytics and data science.

Requirements

Proficiency in Python and experience working within Jupyter Notebooks
Strong background in machine learning, statistical modeling, and algorithm development
Experience working with large datasets from multiple sources, including data cleaning, transformation, and analysis
Experience performing exploratory data analysis, hypothesis testing, and inference modeling
Familiarity with AI/ML frameworks, data mining techniques, and software engineering principles
Experience automating workflows and optimizing data pipelines for reproducible analytics
Experience working with SIGINT datasets, RF data, or PROFORMA data
Ability to apply advanced analytical methods to complex national security problems
Bachelor’s degree with 15 years of relevant experience, or Associate’s degree with 17 years of relevant experience
Acceptable Degree Fields: Mathematics, Applied Mathematics, Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
Related fields such as Computer Information Systems, Engineering, or 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
Must possess an active TS SCI with appropriate Polygraph to be considered for this role

Responsibilities

Apply expertise across multiple data science domains including mathematical, statistical, and computational foundations
Perform data curation, transformation, visualization, and automation of analytical workflows
Develop reproducible analytics and optimize inefficient processes and data pipelines
Analyze large, complex datasets and draw meaningful conclusions using mathematical, statistical, and domain expertise
Develop analytic models and quantitative techniques for unstructured or incomplete datasets
Perform statistical modeling, inference, forecasting, and predictive analytics
Translate mission and analytical requirements into technical data specifications
Develop tools and visualizations that clearly communicate analytical findings and support operational decision making
Effectively convey complex technical concepts and analytical results to both technical and non-technical stakeholders
Leverage experience with SIGINT datasets, RF data, or PROFORMA data to enhance mission analysis and capabilities