Data Scientist USSOCOM Various Locations (Stewards) ...
Occam Solutions Inc - Fort Bragg, NC
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We are seeking a Data Scientist to provide support our US Special Operations Command (USSOCOM) customer to formulate and lead guided, multifaceted analytic studies against large volumes of data. As well as to integrate as part of a team that will provide advanced analytical knowledge of data on the data science team, with a focus on conducting big data analysis, data conditioning, programming advanced computing, developing algorithms, developing software and data models, executing predictive analytics and utilizing visualization tools. Thedata scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline. 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. Requirements/ Qualifications: * Bachelor''s degree in a STEM field is required. Master''s degree is preferred in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. * Proficient with one or more programming languages (Java, C++, Python, R, etc.). * Bachelor''s degree is acceptable in the above fields if the candidate has training and verifiable work experience in a related field. * Proficient in Agile Development and Git Operations. * Minimum of 1 year experience is required. * MUST HAVE Current TS/SCI or TS clearance and eligible for SCI access and ACCM read-on. Locations: Kelley Barracks, Germany; Patch Barracks, Germany; Camp Kim, Korea; Tamp, Florida; Fort Bragg, North Carolina
Created: 2025-10-04