Senior Data Scientist

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.

Our mission‑first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure Dev Sec Ops  practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.

This role is for a Senior Data Scientist on a close‑knit team supporting Air Force Special Operations Command (AFSOC) at Hurlburt Field, FL. This team is at the center of helping the command empower and leverage its data for more effective analysis and decision making. As a subject‑matter expert, the Senior Data Scientist will leverage their experience to gather and derive insights from complex data, assist the command with development initiatives, and facilitate digital transformation efforts.

The work done in this role has a direct impact on mission readiness as the team's efforts go toward making a more resilient and data‑driven organization.

Senior Data Scientist will perform the following tasks:

• Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
• Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
• Experiment against data points, provide information based on experiment results, and present previously undiscovered solutions to command data challenges.
• Coordinate with Data Engineers to build data environments providing data identified by other data professionals.
• Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities.
• Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
• Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large‑scale structured and unstructured data.
• Use frameworks such as Spark and Hadoop to conduct large‑scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI, and R Shiny.
• Research, design, and implement algorithms to solve complex problems. Program using R, Python (Num Py, Sci Py, Pandas) or similar analytical languages.
• Perform data engineering, data processing and modeling techniques using cloud‑based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
• Communicate complex concepts and hypotheses to a non‑technical audience through digital storytelling.

• A minimum of 1 year of hands‑on Data Science experience is required.
• Bachelor’s Degree in a STEM field is required.
• Proficient with one or more programming languages (Java, C++, Python, R, etc.)
• Demonstrated ability to apply data science to solve real‑world problems.

• Familiarity with DoD.
• Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
• Familiarity with Envision.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.