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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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The primary objective of the Data Organization is to harness healthcare data to support and promote value-based care contracts between health systems, providers, health plans, and other third-party risk bearing entities; incentivize quality, utilization, and experience outcomes; and enhance payment operations with both services and product development.
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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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For this position, specialized experience is experience leading an experiment or research project related to soil and water science; analyzing and interpreting research data or results; and assisting with the evaluation, interpretation, documentation, and publishing of findings.
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Experienced with open source big data processing technologies such as Airflow, Hive, Flink, Spark, Kafka, Storm, etcKnowledgeable with Data Science tools and frameworks. Contribute to the overall architecture and design of healthcare monitoring applications, providing valuable input on data processing and data governance.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commesurat experience such at Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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Bachelor's or Masters degree in computer science, data science, statistics, mathematics, or a related field. Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and librariesDemonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI , Quick Sight or Tableau.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of leadership roles in Data Science, including Data Science Manager, Data Engineer Team Lead, FISMA Support Metric Lead, Data Modeler, Data Security Officer and Operations Research Chief.
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The postdoc will collaborate with Cornell Lab's quantitative team to develop macro-demographic indices of avian recruitment and mortality, based on continent-wide radar data (NEXRAD), broad-scale citizen-science data (eBird) and fine-scale data from the National Ecological Observatory Network (NEON) and Phenocam.
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Preferred Job Qualifications Experience conducting qualitative and quantitative social science research, from data collection through analysis and publication. Expertise in collecting and analyzing social science data for natural resource policy research projects.
$68,000 - $80,000ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Undergraduate degree in computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, or other fields, or equivalent experience.
$181,200 - $249,150 a yearFull-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry’s pricing strategy.
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Experience leading end-to-end data science project implementations working with Agile methodologies. Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure.
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Business Administration, Finance, Accounting, Statistics, Engineering, Data Analytics / Science, Computer Science, Information Systems, Project Management, Sciences, Physics, Applied Mathematics, Supply Chain, Marketing, and/or related majors required.
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data science jobs Title: project manager Company: Accenture Contractor Jobs
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