Job Description
Job 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 national security challenges. At Independent Software, you will not just be writing code you will 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 are looking for a workplace that values both technical excellence and real world mission relevance you will thrive here.
You will leverage your Python expertise, workflow automation, data manipulation, and visualization particularly within Jupyter Notebooks to support data driven decision making and operational efficiency. You will contribute to developing analytical tools, generating impactful insights, delivering sophisticated visualizations, and optimizing data pipelines. You will also apply your SIGINT background and experience with RF or PROFORMA data to enhance team capabilities and analytical approaches.
Key Responsibilities
- Apply skills across at least two of the following domains :
Foundations : Mathematical, statistical, and computational theory and application
Data Processing : Data curation, transformation, visualization, reproducibility, pipeline automation, and optimization of inefficient processesModeling and Prediction : Statistical modeling, inference, forecasting, and domain specific analyticsDraw conclusions from large, complex datasets using a combination of mathematical, statistical, and domain knowledgeDevelop and apply analytic models and quantitative techniques tailored to unstructured or incomplete datasets often with unique national security constraintsTranslate mission and analytical requirements into technical data specifications and guide others on interpreting resultsEffectively convey complex technical concepts to diverse audiences including non technical stakeholdersRequired Skills and Qualifications
Proficient in Python and familiar with Jupyter NotebooksStrong background in machine learning, statistical modeling, and algorithm developmentHands on experience with data cleaning, transformation, and analysis of large datasets from multiple sourcesExperience with exploratory data analysis, hypothesis testing, and inference modelingKnowledge of AI ML frameworks, data mining, and software engineering principlesWorkflow automation, optimization of data pipelines, and ensuring reproducible analyticsExperience with PROFORMA or other RF data and SIGINT datasetsEducation and Experience
Master’s degree with 8 plus years of relevant experience orBachelor’s degree with 10 plus years of relevant experience orAssociate degree with 12 plus 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 :
At Independent Software, our people are the mission. We’ve built a company around collaboration, integrity, and innovation and we make sure our team has the tools and support to grow, succeed, and thrive.
When you join us, you will :
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? Join us and be part of something bigger.
Apply today.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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