Iron EagleX
Data Scientist - Hybrid
Iron EagleX, Fayetteville, North Carolina, United States, 28305
Data Scientist - Hybrid
Job Locations
US-NC-Fayetteville
Job ID
2024-2473
Clearance Level
Top Secret SCI
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: Our Special Operations Forces Data Science Team is seeking a Data Scientist to apply machine learning models and advanced analytics to a large variety of business problems. This role requires collaboration with business stakeholders to identify high value predictive modeling, work with engineering teams to set up necessary infrastructure and processes to support predictive analytics. As well as develop, maintain, and continuously improve analytical models that support ongoing business needs. Hybrid position in Ft. Liberty, Fayetteville, NC. Job Duties Include (but are not limited to): Solve complex data problems, discovering fresh insights and delivering data to the user that is timely and establishes unparalleled trust and confidence in the data and services of our customers
Support Classified Data Science work involving R, Python, and PostgreSQL Implement and adapt a variety of machine learning capabilities, from classical statistics to foundation models in natural language processing and computer vision, to disparate data sources in order to extract insights Work closely with business and operational customers to understand requirements and their use of data, systems, and tools Provide interpretation of new data sources relevant to our user community and recommend ways to apply the data to identify unique insights Identify and analyze data shortfalls, hidden insights or anomalies and make recommendations on ways to apply the data and help to codify new data collection or system requirements
Qualifications
Required Skills & Experience: Experience working with big data technologies and applying large scale Machine Learning (ML) and Artificial Intelligence (AI) techniques Data cleaning, ETL, analysis, and visualization Mathematical modeling and statistics Strong programming background proficiency in Python, R and SQL Experience using Git for version control Experience with PostgreSQL and/or MongoDB Experience with Python libraries including NumPy, SciPy, Matlotlib, scikit-learn, etc. Experience with developing in a Linux environment Experience in a variety of ML/AI algorithms (supervised, unsupervised, deep learning, GenAI, etc.) Experience with Docker containers, to include containerizing models and writing Dockerfiles Experience working with data sets from multiple disparate sources, to include unstructured data 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 Define and document appropriate advanced analytic methods for selection, categorization, and predictive modeling Create algorithms or predictive models that can be put into production, working closely with backend developers, cybersecurity professionals, and DevOps engineers Actively monitor algorithms and provide recommendations to update as needed Develop and document methodologies for analyzing all types of data and determine patterns in the data 6+ years of experience providing services similar to required tasks, scope and complexity Due to US Government Contract Requirements, only US Citizens are eligible for this role Education & Certifications: Bachelor or Masters Degree in a relevant technical field such as mathematics, statistics, computer science, and physics Security Clearance: An active Top Secret/SCI Clearance is required. 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 plan 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-NC-Fayetteville
Job ID
2024-2473
Clearance Level
Top Secret SCI
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: Our Special Operations Forces Data Science Team is seeking a Data Scientist to apply machine learning models and advanced analytics to a large variety of business problems. This role requires collaboration with business stakeholders to identify high value predictive modeling, work with engineering teams to set up necessary infrastructure and processes to support predictive analytics. As well as develop, maintain, and continuously improve analytical models that support ongoing business needs. Hybrid position in Ft. Liberty, Fayetteville, NC. Job Duties Include (but are not limited to): Solve complex data problems, discovering fresh insights and delivering data to the user that is timely and establishes unparalleled trust and confidence in the data and services of our customers
Support Classified Data Science work involving R, Python, and PostgreSQL Implement and adapt a variety of machine learning capabilities, from classical statistics to foundation models in natural language processing and computer vision, to disparate data sources in order to extract insights Work closely with business and operational customers to understand requirements and their use of data, systems, and tools Provide interpretation of new data sources relevant to our user community and recommend ways to apply the data to identify unique insights Identify and analyze data shortfalls, hidden insights or anomalies and make recommendations on ways to apply the data and help to codify new data collection or system requirements
Qualifications
Required Skills & Experience: Experience working with big data technologies and applying large scale Machine Learning (ML) and Artificial Intelligence (AI) techniques Data cleaning, ETL, analysis, and visualization Mathematical modeling and statistics Strong programming background proficiency in Python, R and SQL Experience using Git for version control Experience with PostgreSQL and/or MongoDB Experience with Python libraries including NumPy, SciPy, Matlotlib, scikit-learn, etc. Experience with developing in a Linux environment Experience in a variety of ML/AI algorithms (supervised, unsupervised, deep learning, GenAI, etc.) Experience with Docker containers, to include containerizing models and writing Dockerfiles Experience working with data sets from multiple disparate sources, to include unstructured data 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 Define and document appropriate advanced analytic methods for selection, categorization, and predictive modeling Create algorithms or predictive models that can be put into production, working closely with backend developers, cybersecurity professionals, and DevOps engineers Actively monitor algorithms and provide recommendations to update as needed Develop and document methodologies for analyzing all types of data and determine patterns in the data 6+ years of experience providing services similar to required tasks, scope and complexity Due to US Government Contract Requirements, only US Citizens are eligible for this role Education & Certifications: Bachelor or Masters Degree in a relevant technical field such as mathematics, statistics, computer science, and physics Security Clearance: An active Top Secret/SCI Clearance is required. 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 plan 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.