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Clarity Innovations

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Data Scientist

Clarity Innovations

Herndon, VA; Ft. Meade,... Data Engineering 2d ago

Senior Data Scientist

Clarity Innovations

Bluegrass Station, Lexin... Data Engineering 3d ago

Data Scientist

Clarity Innovations

Tampa, FL Data Engineering 3d ago

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Data Scientist

Clarity Innovations · Herndon, VA; Ft. Meade, MD

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Data Engineering Ft Meade, MD Herndon, VA Posted May 7, 2026

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.

Position Overview

DANDIE (Data Acquisition Network for Delivery, Ingestion and Exploitation) is a new program that will serve as the strategic data platform designed to streamline the procurement, onboarding, consumption, and offboarding of CAI / PAI datasets as a reliable enabler of OCO missions. Built on OSS, COTS, and GOTS components and deployed on Kubernetes, DANDIE will support batch, streaming, and QiP cross-domain data workflows and gearing up to become the enterprise data hub for Cyber Command.

In this role, you will evaluate data utility and quality, identify trends and opportunities, and provide actionable insights that inform dataset procurement, onboarding prioritization, and operational usage decisions across DANDIE. You will help determine which datasets actually move the mission—by quantifying utility, quality, and impact.

Key Responsibilities

Evaluate dataset utility and quality using quantitative and qualitative measures
Analyze datasets to identify trends, gaps, anomalies, and improvement opportunities
Partner with the Lead Data Scientist and Metrics Engineer to align measures to mission objectives
Develop clear narratives and visualizations communicating dataset strengths, weaknesses, and risk
Provide insights supporting procurement and prioritization decisions (value-to-mission, readiness, cost efficiency)
Support iterative refinement of metrics and methods based on platform usage and stakeholder feedback
Contribute to building repeatable evaluation methodologies for new data sources

Minimum Qualifications

Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, or related field, or equivalent experience
4+ years of experience in data science, analytics, or applied measurement roles
Proficiency in Python and SQL
Experience with data analysis, visualization, and communicating results to stakeholders
Ability to translate analytical findings into decision-relevant recommendations
Strong documentation skills and comfort presenting to mixed audiences
TS/SCI with CI Poly preferred; must be eligible to obtain TS/SCI with CI Poly within 6 months of hire
U.S. citizenship required

Nice to Have Skills

Experience with data quality, usage analytics, or KPI frameworks
Experience with large-scale data platforms or data lakes
Familiarity with streaming/event data analysis (e.g., time-windowed metrics, near-real-time monitoring).
Familiarity with structured/semistructured/unstructured data assets
Experience supporting DoD/IC or regulated environments
Exposure to metadata/catalog concepts (e.g., lineage, dataset registration, tagging)
Familiarity with cross-domain data constraints and operational data handling realities

Work Environment

Government program environment
U.S. citizenship required
TS/SCI with CI Poly preferred; must be eligible to obtain TS/SCI with CI Poly within 6 months of hire
Commute to Herndon, VA or Ft. Meade, MD
Hybrid schedule with on-site support expected (minimum 2 days per week)

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.

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Senior Data Scientist

Clarity Innovations · Bluegrass Station, Lexington, Kentucky

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Data Engineering Bluegrass Station, Kentucky Posted May 6, 2026

Role
This role is for a Senior Data Scientist on a close-knit team supporting Special Operations Forces Support Activity (SOFSA), a U.S. Special Operations Command program at Bluegrass Station in Lexington Kentucky. SOFSA provides flexible and highly responsive logistics support services to ensure that the equipment readiness requirements of the special operations war fighter are met. 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.

Responsibilities

A Senior data scientist will have skills sets of both data analysts and data engineers. Senior Data scientists are responsible for designing, implementing, and maintaining a data pipeline. In addition, Senior Data Scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning. Senior Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques.

The Senior 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.

Requirements

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.

Preferred Qualifications

Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
Top Secret Clearance with SCI Eligibility

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Data Scientist

Clarity Innovations · Tampa, FL

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Data Engineering Tampa, FL Posted May 6, 2026

Role

This role is for a 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 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.

Responsibilities

A data scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline. In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning.
Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques.

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.

Requirements

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.)
Proficient in Agile Development and Git operations
A Top Secret Clearance with SCI eligibility is required
Demonstrated ability to work in a fast-paced environment with evolving requirements

Preferred Qualifications

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

Ready to apply?

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Clarity Innovations

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