Clarity Innovations, LLC
Senior Data Scientist Tampa, FL
Clarity Innovations, LLC, Jackson, Mississippi, United States
Overview
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. 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. Role
This role is for a Senior 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 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
Senior Data Scientist. A Senior data scientist will have skill 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. Understand some of the most challenging processes, technologies, and leverage a vast array of methodologies in the field, such as data mining, natural language processing, and machine learning. Possess a combination of skills including programming, mathematical modeling, statistics, and domain knowledge. Combine advanced math and statistics with programming, domain knowledge, and communication to analyze data, create applied mathematical models, and present results. Manipulate structured and unstructured large data sets using distributed SQL programming, relational and non-relational data queries, and languages such as Python and R; apply machine learning techniques. Perform tasks listed below related to data analysis, modeling, and communication with non-technical audiences. Interpret and analyze data using exploratory mathematical and statistical techniques based on the scientific method. Coordinate research and analytic activities utilizing various data points (unstructured and structured) and use programming to clean, massage, and organize the data. Experiment against data points, provide information based on experiment results, and propose solutions to 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, NLP, RPA, text mining, clustering, forecasting, and other advanced statistical techniques. Design and automate processes to facilitate data manipulation and analysis; manage and integrate data across dissimilar data sets; analyze large-scale structured and unstructured data. Use frameworks such as Spark and Hadoop for large-scale data processing; create data visualizations with Tableau, Power BI, or R Shiny. Research, design, and implement algorithms to solve complex problems; program in R, Python (NumPy, SciPy, Pandas), or similar languages. Perform data engineering, processing, and modeling using cloud-based platforms (e.g., Databricks, IBM Cloud Pak, Cloudera, Snowflake). Communicate complex concepts to non-technical audiences through digital storytelling; mentor others in Data Science practices. Requirements
A minimum of 6 years of hands-on Data Science experience. A 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. Secret Clearance minimum – Top Secret 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. 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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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. 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. Role
This role is for a Senior 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 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
Senior Data Scientist. A Senior data scientist will have skill 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. Understand some of the most challenging processes, technologies, and leverage a vast array of methodologies in the field, such as data mining, natural language processing, and machine learning. Possess a combination of skills including programming, mathematical modeling, statistics, and domain knowledge. Combine advanced math and statistics with programming, domain knowledge, and communication to analyze data, create applied mathematical models, and present results. Manipulate structured and unstructured large data sets using distributed SQL programming, relational and non-relational data queries, and languages such as Python and R; apply machine learning techniques. Perform tasks listed below related to data analysis, modeling, and communication with non-technical audiences. Interpret and analyze data using exploratory mathematical and statistical techniques based on the scientific method. Coordinate research and analytic activities utilizing various data points (unstructured and structured) and use programming to clean, massage, and organize the data. Experiment against data points, provide information based on experiment results, and propose solutions to 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, NLP, RPA, text mining, clustering, forecasting, and other advanced statistical techniques. Design and automate processes to facilitate data manipulation and analysis; manage and integrate data across dissimilar data sets; analyze large-scale structured and unstructured data. Use frameworks such as Spark and Hadoop for large-scale data processing; create data visualizations with Tableau, Power BI, or R Shiny. Research, design, and implement algorithms to solve complex problems; program in R, Python (NumPy, SciPy, Pandas), or similar languages. Perform data engineering, processing, and modeling using cloud-based platforms (e.g., Databricks, IBM Cloud Pak, Cloudera, Snowflake). Communicate complex concepts to non-technical audiences through digital storytelling; mentor others in Data Science practices. Requirements
A minimum of 6 years of hands-on Data Science experience. A 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. Secret Clearance minimum – Top Secret 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. 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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