Iron EagleX
Data Scientist
Iron EagleX, Tampa, Florida, us, 33646
Data Scientist
Job Locations
US-FL-Tampa
Job ID
2024-2479
Clearance Level
Secret Clearance
Overview
Iron EagleX (IEX) is a technology-driven innovator dedicated to IT modernization and cutting-edge technical solutions in the fields of data science, artificial intelligence/machine learning (AI/ML), and other specialized areas of computer science. We also deliver advanced intelligence and cybersecurity services to the U.S. Department of Defense and other federal agencies. Our team of experts thrives on solving complex challenges, driving mission success through innovation, and fostering a collaborative culture that values integrity and excellence. Joining IEX means contributing to critical missions, working with leading technologies, and advancing your career in a dynamic and rewarding environment. Responsibilities
Job Description:
The Data Scientist will support the United States Special Operations Command (USSOCOM) Chief Digital and Artificial Intelligence Office (CDAO) and be responsible for designing, implementing, and maintaining a data pipeline. Additionally, the Data Scientist shall interpret and analyze complex sets of data and plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They will leverage multiple methodologies such as data mining, natural language programming, and machine learning. Job Duties Include (but not limited to):
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 and 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
Qualifications
Required Skills & Experience: Minimum of 1-year of experience in data analysis, reporting, and engineering is required. Proficient with one or more programming languages (Java, C++, Python, R, etc.). Proficient in Agile Development and Git Operations. Demonstrated experience applying data science methods to real-world data problems. Experience working with large data sets and with distributed computing technologies such as MapReduce/Hadoop. Experience with search and reporting tools such as Apache Spark, Jasper, Pentaho or similar. Ability to communicate data analysis results in a clear and concise manner to a variety of technical and non-technical audiences. Must be able to define and document appropriate advanced analytic methods, predictive analysis, pattern analysis, and the like Unit testing and associated frameworks MUST BE A US CITIZEN
Desired Skills: Experience working with the Department of Defense
Education & Certifications: Bachelors 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. Certificate in Data Analysis or other relevant experience or training Security Clearance: At least "Interim Secret" within 30 days of hire is required, Top Secret clearance with SCI eligibility preferred. Benefits: National Health, vision, and dental plans 20 days of PTO and 11 paid holidays Life Insurance Short - and long-term disability plans 401(K) retirement plans Incentive and recognition programs Relocation opportunities Iron EagleX is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
Job Locations
US-FL-Tampa
Job ID
2024-2479
Clearance Level
Secret Clearance
Overview
Iron EagleX (IEX) is a technology-driven innovator dedicated to IT modernization and cutting-edge technical solutions in the fields of data science, artificial intelligence/machine learning (AI/ML), and other specialized areas of computer science. We also deliver advanced intelligence and cybersecurity services to the U.S. Department of Defense and other federal agencies. Our team of experts thrives on solving complex challenges, driving mission success through innovation, and fostering a collaborative culture that values integrity and excellence. Joining IEX means contributing to critical missions, working with leading technologies, and advancing your career in a dynamic and rewarding environment. Responsibilities
Job Description:
The Data Scientist will support the United States Special Operations Command (USSOCOM) Chief Digital and Artificial Intelligence Office (CDAO) and be responsible for designing, implementing, and maintaining a data pipeline. Additionally, the Data Scientist shall interpret and analyze complex sets of data and plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They will leverage multiple methodologies such as data mining, natural language programming, and machine learning. Job Duties Include (but not limited to):
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 and 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
Qualifications
Required Skills & Experience: Minimum of 1-year of experience in data analysis, reporting, and engineering is required. Proficient with one or more programming languages (Java, C++, Python, R, etc.). Proficient in Agile Development and Git Operations. Demonstrated experience applying data science methods to real-world data problems. Experience working with large data sets and with distributed computing technologies such as MapReduce/Hadoop. Experience with search and reporting tools such as Apache Spark, Jasper, Pentaho or similar. Ability to communicate data analysis results in a clear and concise manner to a variety of technical and non-technical audiences. Must be able to define and document appropriate advanced analytic methods, predictive analysis, pattern analysis, and the like Unit testing and associated frameworks MUST BE A US CITIZEN
Desired Skills: Experience working with the Department of Defense
Education & Certifications: Bachelors 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. Certificate in Data Analysis or other relevant experience or training Security Clearance: At least "Interim Secret" within 30 days of hire is required, Top Secret clearance with SCI eligibility preferred. Benefits: National Health, vision, and dental plans 20 days of PTO and 11 paid holidays Life Insurance Short - and long-term disability plans 401(K) retirement plans Incentive and recognition programs Relocation opportunities Iron EagleX is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.