Data Scientist Level 4As 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.Key Responsibilities:Apply expertise across multiple data science domains including mathematical, statistical, and computational foundationsPerform data curation, transformation, visualization, and automation of analytical workflowsDevelop reproducible analytics and optimize inefficient processes and data pipelinesAnalyze large, complex datasets and draw meaningful conclusions using mathematical, statistical, and domain expertiseDevelop analytic models and quantitative techniques for unstructured or incomplete datasetsPerform statistical modeling, inference, forecasting, and predictive analyticsTranslate mission and analytical requirements into technical data specificationsDevelop tools and visualizations that clearly communicate analytical findings and support operational decision makingEffectively convey complex technical concepts and analytical results to both technical and non-technical stakeholdersLeverage experience with SIGINT datasets, RF data, or PROFORMA data to enhance mission analysis and capabilitiesRequired Skills and Qualifications:Proficiency in Python and experience working within Jupyter NotebooksStrong background in machine learning, statistical modeling, algorithm development, and AI/ML methodologiesExperience working with large datasets from multiple sources, including data cleaning, transformation, and analysisExperience using Pandas DataFrames for data manipulation, aggregation, and analytical processingExperience performing exploratory data analysis, hypothesis testing, and inference modelingFamiliarity with AI/ML frameworks, data mining techniques, and software engineering principlesExperience automating workflows and optimizing data pipelines for reproducible analyticsExperience working with SIGINT datasets, RF data, or PROFORMA dataAbility to apply advanced analytical methods to complex national security problemsEducation and Experience:Bachelor's degree with 15 years of relevant experience, orAssociate's degree with 17 years of relevant experienceAcceptable Degree Fields:Mathematics, Applied Mathematics, Statistics, Machine Learning, Data Science, Operations Research, or Computer ScienceRelated fields such as Computer Information Systems, Engineering, or Physical Sciences with a strong computational focusOther scientific disciplines may qualify if accompanied by 5 or more upper level courses in mathematics 300 level or higher and or computer scienceBroader degrees may be accepted if supported by a Data Science Certificate from an accredited institutionClearance Requirement:Must possess an active TS SCI with appropriate Polygraph to be considered for this roleWhy Choose Independent Software:Support critical national security missions that matterBe part of a close-knit, employee-first culture where your voice is heardExpand your skills through ongoing training, mentorship, and career developmentEnjoy competitive compensation, generous benefits, and work-life balanceReady to take the next step in your career?
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All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.