Data Scientist, Level 3

Independent Software•Columbia, MD

About The Position

As a Level 3 Data Scientist with Independent Software, you will provide advanced discovery support by leveraging machine learning, statistical analysis, analytical prototyping, scripting, automation, and data visualization to support mission-critical initiatives. You will work with large, complex datasets to develop scalable solutions that evolve with mission needs and emerging technologies. This role emphasizes building efficient, repeatable workflows and automation for data ingestion, processing, modeling, and reporting. You will design and maintain data pipelines, perform advanced analytics, and deliver insights that directly support operational decision-making. You will collaborate closely with technical leads, subject matter experts, analysts, and mission partners. Prior experience in targeting, discovery, SIGINT, or analytic roles is highly beneficial. A strong, inquisitive mindset and ability to independently explore and extract value from complex data is critical for success in this role.

Requirements

Strong experience with data processing, ETL workflows, and data pipeline development
Proficiency in Python, including experience with Pandas for data manipulation and analysis
Experience using Jupyter Notebooks for modeling, analysis, and reproducible workflows
Experience working with large, complex datasets including noisy or incomplete data
Strong data visualization skills and experience building dashboards or analytical outputs
Experience with machine learning, statistical modeling, and algorithm development
Ability to perform data preprocessing including normalization, filtering, aggregation, and reshaping
Understanding of workflow automation and optimization of data processing systems
Strong analytical and problem-solving skills with a discovery-focused mindset
Ability to communicate complex technical concepts to both technical and non-technical stakeholders
Experience working collaboratively across technical teams and mission stakeholders

Nice To Haves

Experience with Power BI, Tableau, or similar data visualization platforms
Background in TechSIGINT, SIGDEV, or RF-based intelligence (HF, VHF, UHF, SATCOM)
Experience with large-scale or National Agency datasets
Familiarity with database systems such as SQL, Elastic, Kibana, or similar tools
Previous experience as an analyst, targeter, or discovery analyst within the Intelligence Community
Experience delivering clear, polished briefings to diverse audiences

Responsibilities

Apply statistical methods, machine learning models, and automation techniques to support discovery and analysis
Design, develop, and maintain data pipelines supporting both batch and incremental data ingestion
Build prototypes and scripts for processing, modeling, and visualizing large volumes of structured and unstructured data
Perform data preprocessing including normalization, cleaning, filtering, aggregation, and reshaping datasets for analysis and reporting
Leverage Python (including Pandas) and Jupyter Notebooks to develop analytical models and workflows
Develop and maintain automated processes for reporting, analytics, and data-driven decision support
Create visualizations and dashboards using tools such as Power BI, Tableau, or similar platforms
Conduct exploratory data analysis to identify patterns, anomalies, and actionable insights
Collaborate with TDNA teams, data scientists, SIGDEV experts, and RF specialists to support mission objectives
Translate mission needs into technical requirements and guide stakeholders in interpreting complex datasets
Deliver briefings and presentations to both technical and non-technical audiences
Utilize and maintain Python automation packages and workflows used across mission environments