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 blends data science with cyber threat analysis, requiring a strong understanding of network data, protocols, and adversary activity.
You will work across the full data lifecycle-curating, processing, modeling, and visualizing data-to identify patterns, detect anomalies, and generate 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.
This role is ideal for an inquisitive, discovery-oriented professional who thrives on analyzing complex data, understanding cyber behaviors, and adapting to new tools and technologies.
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 analysts, engineers, and mission partners to support cyber and 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
- Understanding of network traffic, protocols, and cyber-related data is strongly preferred
- Experience with workflow automation and reproducible analytics
- Ability to analyze data in varying states of completeness and structure Experience with Natural Language Processing (NLP), Artificial Intelligence (AI), Large Language Models (LLMs), or other advanced machine learning technologies is highly desired.
- Experience developing or supporting customer dataflows, data ingestion pipelines, and large-scale data processing workflows is preferred.
- 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 include work with large-scale data, data science, machine learning, or cyber threat / network analysis in a mission or operational environment
Clearance Requirement: - Must possess an active TS SCI with appropriate Polygraph to be considered for this role
