Data Scientist, Level 3

What You Will Do:

At Independent Software, as a Data Scientist Level 3, you will support mission-critical national security operations by applying advanced data science, machine learning, and statistical techniques to large-scale, complex datasets. This role has a strong focus on Big Data platform support, scalable data processing, and algorithm development and refinement within distributed computing environments.

You will work across the full data lifecycle—curating, processing, modeling, and visualizing data—to deliver actionable insights. Leveraging strong programming skills and analytical expertise, you will develop automated workflows, refine analytical models, and support data-driven decision-making in dynamic mission environments.

Key Responsibilities:



 

• Apply machine learning, statistical analysis, and computational techniques to analyze large and complex datasets
• Develop, implement, and refine analytical algorithms to improve performance and mission outcomes
• Perform data curation, normalization, transformation, and integration across multiple data sources
• Design and build automated data processing pipelines and reproducible analytics workflows
• Conduct exploratory data analysis, hypothesis testing, and statistical modeling
• Develop models for inference, prediction, and domain-specific analytics
• Create data visualizations to effectively communicate analytical results
• Translate mission requirements into technical data solutions and analytical workflows
• Communicate findings and recommendations to both technical and non-technical stakeholders
• Collaborate with cross-functional teams to support mission objectives

Required Skills and Qualifications:



 

• Strong experience in data science, machine learning, and statistical analysis
• Proficiency in Python and experience working in data analysis environments (e.g., Jupyter Notebooks)
• Experience working with large-scale data and Big Data platforms (e.g., Spark or similar technologies)
• Experience performing tasks associated with Big Data platform management and distributed data processing environments
• Experience developing, implementing, and refining analytical algorithms to improve performance and scalability
• Experience supporting data visualization and presenting analytical results through dashboards or visual tools
• Strong background in mathematics, statistics, and computational methods
• Experience with data processing, including cleaning, transformation, and normalization
• Experience with workflow automation and reproducible analytics
• Ability to analyze data in varying states of completeness and structure
• Strong problem-solving, analytical, and communication skills

Education and Experience:



 

• Master’s degree in Computer Science, Computer Engineering, Information Systems, or a related discipline and six (6) years of relevant experience; OR
• Bachelor’s degree in a related discipline and eight (8) years of relevant experience; OR
• Associate’s degree in a related discipline and ten (10) years of relevant experience
• Relevant experience must be in intrusion analysis, network defense, malware analysis, or a related cybersecurity field

Clearance Requirement:



 

• Must possess an active TS SCI with appropriate Polygraph to be considered for this role

Why 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 matter
• Be part of a close-knit, employee-first culture where your voice is heard
• Expand your skills through ongoing training, mentorship, and career development
• Enjoy competitive compensation, generous benefits, and work-life balance

Ready 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.