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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Clarity - **Location:** Boca Raton, FL, United States - **Experience:** Expert - **Salary:** $77,000.0 - $188,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Data Analysis, Big Data, C++ (Programming Language), Cloud Computing, Computer Programming, Continuous Delivery, Continuous Integration, Information Engineering, Data Files, Data Infrastructure, Data Mining, Data Visualization, Relational Databases, Digital Storytelling, Distributed Systems, R (Programming Language), Apache Hadoop, IBM Cloud Computing, Python (Programming Language), Machine Learning, Microsoft Software, Language Modeling, Natural Language Processing, NumPy, Power BI, Cloudera, Azure Machine Learning, SciPy, Software Engineering, SQL Databases, Tableau (Software), Text Mining, Unstructured Data, Data Processing, Scripting, Cloud Platform System, Snowflake, Apache Spark, Git, SC Clearance, Pandas, Information Technology, Statistics Packages, Data Analytics, Data Management, Machine Learning Operations, Cyber Warfare, Data Pipelines, Databricks, Programming Languages - **Published:** September 30, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-data-scientist-boca-raton-fl--ec6bf537-cca6-45a7-b2e1-99d0f6afbbba ## About the Role * 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 Secret Clearance is required Preferred Qualifications * Familiarity with DoD * A Top Secret Clearance with SCI eligibility * Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields., Agile Programming Methodologies, Algorithms, Analysis Skills, Apache Hadoop, Apache Spark, Automation, C++ Programming Language, Cloud Computing, Cloudera, Communication Skills, Computer Programming, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cyber Warfare, Data Analysis, Data Management, Data Mining, Data Modeling, Data Processing, Data Science, Data Sets, Data Visualization, Develop Methodologies, Distributed Computing, Federal Contracts, Federal Government, Forecasting, Git, Government Contracts, IBM Product Family, Industrial Engineering, Information Warfare (IW), Integrated Circuits (ICs), Intelligence Community, Java, Machine Learning, Massage Therapy, Mathematical Modeling, Mathematics, Microsoft Product Family, Modeling Languages, Natural Language Processing (NLP), Operations Research, Operations Security (OPSEC), Physics, Power BI, Predictive Modeling, Problem Solving Skills, Programming Languages, Project/Program Management, Python Programming/Scripting Language, R Programming Language, SOCOM - United States Special Operations Command, SQL (Structured Query Language), Sales Pipeline, Scientific Method, Secret Clearance, Software Engineering, Statistical Algorithms, Statistical Modeling, Statistical Programming Languages, Statistics, Storytelling, Structured Data, Tableau, Text Mining, United States Department of Defense (DoD), Unstructured Data ## Description 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., 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. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Vectorize all the things! 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