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 DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.
We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security.
This role is for a Senior Principal Data Scientist on a close-knit team supporting a U.S. Special Operations Command program at MacDill AFB. 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 Principal 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.
The Data Scientist shall 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 provide 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 (NumPy, SciPy, 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 hypothesis to a non-technical audience through digital storytelling.
• Be capable of instructing others on the use of Data Science practices and capabilities.
- A minimum of 6 years of hands-on Data Science experience is required.
- A Bachelor's degree in a STEM field is required.
- Proficiency in one or more programming languages (Java, C++, Python, R, etc.)
- Demonstrated experience applying data science methods to real-world data problems.
- Proficiency in Agile Development and GIT Operations
- Secret Clearance minimum – Top Secret is preferred with SCI eligibility.
- Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
- Top Secret Clearance with SCI Eligibility
Skills Required
- Minimum 6 years hands-on Data Science experience
- Bachelor's degree in a STEM field
- Proficiency in one or more programming languages (Java, C++, Python, R, etc.)
- Demonstrated experience applying data science methods to real-world data problems
- Proficiency in Agile development and GIT operations
- Active Secret clearance minimum (Top Secret preferred with SCI eligibility)
- Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related field
- Top Secret clearance with SCI eligibility
Clarity Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Clarity and has not been reviewed or approved by Clarity.
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Fair & Transparent Compensation — Pay is considered strong, with multiple references to “good” or “excellent” compensation. Salary snapshots for engineering and platform roles depict robust pay across multiple seniority levels.
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Healthcare Strength — Benefits include medical, dental, and vision coverage alongside mental‑health support and wellness programs. The breadth of core offerings indicates comprehensive health support for individuals and families.
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Leave & Time Off Breadth — Time‑off provisions cover company holidays, PTO, and defined leaves such as parental, bereavement, and jury duty. This range of leave types supports common personal and family needs.
Clarity Insights
What We Do
Clarity Innovations designs, develops, and deploys force-enhancing software that links human ingenuity to powerful computing and makes our country and our world a better, safer place. Our principles of servant leadership, mutual respect, and technological excellence enable us to thrive on the challenges of the digital frontline. Clarity is focused on helping the Government redefine its relationship with technology by encouraging the use of DevSecOps and Agile methodologies, small-teams constructs, and process automation. To create an atmosphere that embraces the challenges inherent in progress, we honor creativity and curiosity, supporting exploration and growth with modern tech stacks and methodologies. We are as much a family as we are a team, collectively engineering technology that improves the lives and work of the people who use it. We empower our people with the tools, training, and vision they need to outperform the competition.
