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Keywords: data mining, statistical analysis, Gaussian, Markov Models, Hierarchical Clustering, K-Means, Linear Regression, Logistic Regression, Monte Carlo Simulation, Neural Networks, deep learning, AI, algorithms, general linear model, GLM, random forest, gradient boosted models, neural networks, optimization, data visualization, Google Cloud Platform, GCP, GenAI, Generative AI, large language models.
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Desired skills include proficiency in big data analysis techniques such as: educational data mining, random forest analyses, machine learning, predictive analysis and/or research design techniques such as: propensity score analysis, regression discontinuity, or causal analysis.
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We are working with a client in the education space that is looking for a Director level Data Scientist to oversee their Artificial Intelligence initiatives. This individual will be leading a small team of Data Scientists that will work on projects related to admissions, retention, and financial outcomes.
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5+ years 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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Extensive experience in NLP and the design, development, and application of LLM’s and multi-modal AI. This is a HYBRID position working out of Chicago or Columbia, MD. Base salary up to $170K + 25% bonus + LTI. Must be a U.S. Citizen or Green Card holder.
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The Sharecare Data Scientist must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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For data Science/Machine learning Positions. Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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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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Apply statistical (descriptive, analytical, inferential) analysis and data mining techniques to generate real-world evidence and prediction systems for stand-alone projects or to be assimilated into production systems.
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Position requires active Security Clearance with appropriate Polygraph Headquartered in Columbia, MD, RealmOne provides advanced technology services and solutions focused on cybersecurity, intelligence collection and analysis, data science and advanced analytics, and hyper-automation to support our country's most critical national security initiatives.
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Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on 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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Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. Military training in networking, computer science, or cyber topics Applicants must possess a TS/SCI clearance with polygraph to be considered for the position.
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2+ years 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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Preferred: Visio, MS Project or similar software, data mining using DB2, SQL, and/or other tools. Bachelor's degree-in Computer Science, Business Administration, or other job related field.
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data science mining jobs in Columbia, MO, Germany
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