Data Scientist, Level 3

Independent Software•Columbia, MD

About The Position

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.

Requirements

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

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