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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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Experience in machine learning techniques, statistical modeling, graph modeling and text mining routines is preferred. The COO’s Enterprise Change Management Office (ECMO) team is seeking to hire a Change Management (CM) Analyst to fill a strategic deployment role critical to mobilizing a newly established centralized capability focused on change management.
$129,840 - $194,760Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in applying statistical and machine learning methods such as regression, classification, clustering, time series, natural language processing, deep learning, etc. Understand and apply advanced statistical and machine learning techniques to build predictive models, optimization algorithms, and simulation scenarios.
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7+ years of professional experience in data science, with strong foundation in statistical analysis, machine learning, and data visualization. Apply advanced statistical and machine learning techniques to analyze large, complex datasets and extract actionable insights.
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The Research Data Analyst I (Bioinformatics) will be responsible for conducting bioinformatics or statistical analyses in R, Python, SAS, or some other statistical software package under supervision of Principal Investigators from the Gastrointestinal Oncology (GI) Program.
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Subject Matter Depth and Breadth with some of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees; Neural Networks; Deep Learning Concepts; Bayesian Estimators.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns; perform machine learning, natural language, and statistical analysis methods, such as classification, cluster analysis, collaborative filtering, sentimental analysis, language modeling, time-series analysis, regression, statistical inference, etc.
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Learning and development programs, training, career opportunities and a highly regarded tuition reimbursement program. We offer learning and development programs, training, career pathing opportunities, and a tuition reimbursement plan.
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Data tracing, Data mining, visualization, analysis - identifying patterns/trends, exploratory data analysis, root cause analysis, Machine learning & predictive analytics. Experience analyzing large datasets; applying mathematical, statistical and quantitative analysis techniques to perform complex analyses and data mining.
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Utilizing advanced statistical and machine learning techniques, you'll design ETL workflows and collaborate with engineers and analysts to uphold data quality. Solid background in statistical analysis is required.
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5+ years ML coding experience (statistical learning, deep learning, Tensorflow/Keras, GCP/AWS) Experience Demonstrated experience with mature and emerging machine learning models, statistical modeling; supervised and unsupervised Machine Learning techniques critical for advancing Pfizer’s AI intelligent services objectives.
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Support the use of graph databases to solve a range of problems (e.g., use knowledge of graph database languages to query a graph database and answer statistical questions that require understanding familial relationships as defined in immigration law.
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Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny. Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
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Bachelor’s Degree, Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines; MA/ MS preferred. Experience querying databases and using statistical computer languages: R, Python, etc.
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AI and ML: Strong interest in artificial intelligence and machine learning principles including statistical analysis, model creation and application of custom analytical models. In-depth knowledge of marketing automation ecosystem and various marketing channels used for demand generation, digital marketing, ABM, content marketing, email nurture, etc.
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learning statistical jobs in Tampa, FL
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