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Knowledge of data mining, machine learning, data visualization and statistical modeling. The Data Scientist will join a team responsible for developing advanced analytics products; applying Machine Learning, Artificial Intelligence and statistical programming tools to enterprise data to advance and enable key mission outcomes.
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Statistical and machine learning techniques for analyzing financial data, including survival analysis, time series analysis, GLM, logistic regression, XGboost, LightGBM, Random Forest, Neural Networks, decision tree analysis, and cluster analyses.
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Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients.
$136,850 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Familiarity with and ability to architect solutions using a broad range of AI techniques including (but not limited to) Data Science, Analytics, Autonomy/Autonomous Systems, Machine Learning, Deep Learning, Reinforcement Learning, NLP, and Generative AI/LLMs.
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Excellent technical credentials in various subfields relevant to AI (e.g., Data Science, Data Engineering, Machine Learning, Deep Learning, Generative AI, Computer Science.
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Bachelor or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. Our work depends on a TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in St. Louis, MO.
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Sales Territory or Remote (Regardless of Location): $170,700 - $194,800 for Lead Machine Learning Engineer. San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer.
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Currently ManTech is seeking a motivated, career, and customer-oriented Human Capital Data Scientist – Workforce Analytics to join our team in Springfield, Virginia. Utilize and develop queries and reports from the HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office,); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques.
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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
$219,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Collaborate with the full MSI project team to ensure timely, high-quality deliverables, including but not limited to TPM reports, data quality assessments, and client presentations. The Afghanistan's Monitoring, Evaluation, and Learning Activity project (AMELA) is a USAID activity designed to capitalize designed to capitalize on the experience derived from past projects (both USAID and non-USAID), programs, and policies to contribute to improvements in project or program performance and promote organizational learning.
$69,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Analyzes data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g. SAS, SPSS, and Oracle); builds analytical solutions using programming languages (e.g. R, Python, SAS), and programming libraries (e.g. Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Your expertise in data science, statistical modeling, and machine learning will be critical in developing and executing strategies that optimize data collection and streamline recommendations for our customer.
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machine learning data mining jobs Title: machine scientist in Falls Church, VA
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