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Experience with data science, machine learning, and/or artificial intelligence. Experience with cybersecurity data from SIEM, Endpoint, Network, Threat Intelligence. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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Bachelor's degree in Operations Research, Applied Mathematics, or Data Science. On our team, you'll use your analytical skills and data science knowledge to create real-world impact.
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Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python. Headquartered in Columbia, MD., RealmOne supplies advanced cybersecurity, data science and software engineering services and products to customers in the Government and commercial sectors.
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At least 5 years of post graduate professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization.
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Bachelor's degree from an accredited college or university in Computer Science, Mathematics, or related discipline plus twelve (12) years of experience in Mathematics/Statistics, Computer Science, and analysis of data syntax and semantics, and Domain Expertise/Analysis (managing data science projects or being a Principal Investigator for a data science project); or Master's degree or PhD plus ten (10) years of experience; or HS Diploma or GED plus sixteen (16) years of experience.
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Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc. Experience with LLMs and Deep learning models to develop business and data science solutions.
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At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE) , we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Leadership and Communication: Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences.
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Utilizing experience with NLP and text-based extraction techniques;Understanding of how to develop and operationalize data science analytical models so these models can run in an automated context;Understanding of how to map transformation and flow of data from a source to a target system; and,Problem-solving skills and the ability to translate business requirements into data-driven solutions.
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Roles that don’t require prior experience—just a bachelor’s degree in Computer Science. – Manage data like a pro. Linux/Windows, some with ServiceNOW) – Keep the gears turning. Full Scope Polygraph (FS Poly) , we likely have something that’s just right for you.
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Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Experience: Minimum of 5 years of experience in data science, with a strong emphasis on deploying AI applications at scale in large organizations.
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8 yearsofrelatedexperience withlargedata sets, Python,SQL, open-source data science tools, and buildingpredictive models. Use and direct others in the use of open-source data science tools to create and maintain features, listings, tabulations, graphical summaries, and formal statistical estimates and tests.
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The Principal Data Scientist supports and leads clinical quality and safety innovation and projects using data science techniques and technologies and serves as a subject matter expert across the enterprise.
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Requisite computer science skills (operating systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structure) are applied to each problem to provide state-of-the-art techniques, tools, and approaches.
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Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language, e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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Degree must be in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. to perform data and computer science analysis in support of customer operations.
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data science jobs Title: scientist in Columbia, MO, Germany
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