Saic
Senior Data Scientist
Saic, Frankfort, Kentucky, United States,
DescriptionSAIC is seeking six (6)
Senior Data Scientist
roles to join our Advanced Analytics Team located at
Rock Island Arsenal, IL ,
Fort Knox, KY , or
Fort Cavazos, TX .Relocation Assistance provided as neededJOB DESCRIPTION:The successful candidate will have strong experience using a variety of data mining/data analysis methods, tools, building and implementing models, creating algorithms, and running simulations. They must have a proven ability to drive business results by operationalizing data science and artificial intelligence products and solutions in support of various customer missions within the Federal Government and other Public Sector organizations. You will support a variety of programs including but not limited to customer programs, IRAD projects, and product development activities.The Data Scientist role will work in a collaborative team-focused environment with technical understanding and practical application in prototyping, designing, and integrating niche tools for analytical environments. This position will help progress, establish, incorporate, and advance current and promising concepts to inform tactical decision-making timelines. Your role is to provide needed technical knowledge in Predictive Analytics, AI/ML, Deep Learning, Robotic Process Automation, and Edge Computing to develop algorithms, support modeling and simulation efforts, and conduct various analytical projects.Job Duties:Lead and mentor junior data scientists in support of a larger data science roadmap.Conduct analysis of mission data applicable in multiple domains.Formulate and interpret problems in mathematical or computational terms.Design, develop, use, and evaluate mathematical models and algorithm applications to solve problems for the customer.Develop, maintain, and enhance complex software algorithms for processing-intensive analytics and manipulation of large data sets.Research analysis products and tools for possible integration to enhance Analytics and AI offerings.Create new tools and applications using various software languages, frameworks, and libraries.Improve, support, and test an MLOps framework to support team members’ analysis work.Refine and enhance existing applications to better meet the customer’s mission.Code, test, and maintain internally developed mathematical software tools.QualificationsRequired Education and Experience:Bachelor’s degree and five (5) years of relevant experience; four (4) years of experience accepted in lieu of a degree.Required Security Clearance:Must have an active SECRET Clearance to start on Day 1 (U.S. Citizenship required).Required Skills:Demonstrated knowledge of providing data analytics solutions.Proficiency in programming languages such as Python, C/C++, Java, and JavaScript.Hands-on experience creating algorithms and engineering tools for data processing and modeling.Practical understanding in machine learning deployment focused on optimization, including theoretical and numerical methods for model refinement.Aptitude and attitude to tackle unsolved technical challenges.Capability to distill complex problems into digestible structures/formats.
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Senior Data Scientist
roles to join our Advanced Analytics Team located at
Rock Island Arsenal, IL ,
Fort Knox, KY , or
Fort Cavazos, TX .Relocation Assistance provided as neededJOB DESCRIPTION:The successful candidate will have strong experience using a variety of data mining/data analysis methods, tools, building and implementing models, creating algorithms, and running simulations. They must have a proven ability to drive business results by operationalizing data science and artificial intelligence products and solutions in support of various customer missions within the Federal Government and other Public Sector organizations. You will support a variety of programs including but not limited to customer programs, IRAD projects, and product development activities.The Data Scientist role will work in a collaborative team-focused environment with technical understanding and practical application in prototyping, designing, and integrating niche tools for analytical environments. This position will help progress, establish, incorporate, and advance current and promising concepts to inform tactical decision-making timelines. Your role is to provide needed technical knowledge in Predictive Analytics, AI/ML, Deep Learning, Robotic Process Automation, and Edge Computing to develop algorithms, support modeling and simulation efforts, and conduct various analytical projects.Job Duties:Lead and mentor junior data scientists in support of a larger data science roadmap.Conduct analysis of mission data applicable in multiple domains.Formulate and interpret problems in mathematical or computational terms.Design, develop, use, and evaluate mathematical models and algorithm applications to solve problems for the customer.Develop, maintain, and enhance complex software algorithms for processing-intensive analytics and manipulation of large data sets.Research analysis products and tools for possible integration to enhance Analytics and AI offerings.Create new tools and applications using various software languages, frameworks, and libraries.Improve, support, and test an MLOps framework to support team members’ analysis work.Refine and enhance existing applications to better meet the customer’s mission.Code, test, and maintain internally developed mathematical software tools.QualificationsRequired Education and Experience:Bachelor’s degree and five (5) years of relevant experience; four (4) years of experience accepted in lieu of a degree.Required Security Clearance:Must have an active SECRET Clearance to start on Day 1 (U.S. Citizenship required).Required Skills:Demonstrated knowledge of providing data analytics solutions.Proficiency in programming languages such as Python, C/C++, Java, and JavaScript.Hands-on experience creating algorithms and engineering tools for data processing and modeling.Practical understanding in machine learning deployment focused on optimization, including theoretical and numerical methods for model refinement.Aptitude and attitude to tackle unsolved technical challenges.Capability to distill complex problems into digestible structures/formats.
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