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Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization. Master's degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, Operations Research or Economics.
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A Bachelor’s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that includes 12 semester or 18 quarter units of coursework in data science, predictive analytics, research methods or statistical analysis.
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Experience with AI algorithms, predictive modeling and machine learning techniques and their application to insurance problem solving. Use AI algorithms and predictive modeling to create dynamic optimization models that can quickly adapt to changing market conditions and customer needs.
$102,000 - $168,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsibilities: Maintain and develop in-house endpoint association and modeling/prediction pipeline that use cutting edge machine learning methodologies to develop biomarkers of clinical response and resistance, extend analytical capabilities of biomarker platform Define and implement Bioinformatics strategy and protocol-driven configuration layers of biomarker platform for Company studies Perform pan-study analysis to find biomarkers that are predictive of safety and efficacy endpoints.
$89 - $91 an hourFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence.
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And data science techniques for quantitative analysis, statistical analysis, forecasting, predictive modeling, prescriptive analysis, and optimization; and validates analysis and outcomes.
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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Learning, predictive analysis, prescriptive analysis and optimization, and other emerging. BASIC REQUIREMENT: EDUCATION: A degree in mathematics, statistics, computer science, data science, or field directly related to the position.
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Utilizes an in-depth knowledge of data science techniques and methodologies such as machine. modeling, interpreting models, and/or reporting quantitative information, trends, relationships.
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For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens". Defines and documents the specific analytics approaches applied in project delivery.
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Research, Applied Analytics and Statistics. Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools and scripting tools to conduct data science projects, as well as instruct others.
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Sapient Logic is seeking a talented Data Scientist to join our team in San Diego, CA. As a Data Scientist, you will provide strategic insights through advanced data analysis, machine learning, and predictive modeling.
$150,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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To perform exploratory analyses on new and archival data sources. data visualization techniques to articulate findings. Experience using scientific methods to plan, design, conduct, and present data science projects to stakeholders.
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Analytical techniques to assist, consult, or lead others in the application of data science. desired new technologies and techniques to create efficient processes around data extraction, loading.
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machine learning applied mathematics predictive modeling jobs Title: data scientist in Anoka, Minnesota
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