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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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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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Experience with data science or building machine learning models is required, specifically natural language processing (NLP). As a Data Science Intern with us, you’ll find motivation and inspiration in a culture that emphasizes passion for patients as you discover your own strengths.
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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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6+ years of experience in data science, analytics or quantitative intelligence analysis/digital forensics, and demonstrating progressive technical development and outcomes. Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, digital forensic experts, network engineers, senior investigators, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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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 5 days ago - UpvoteDownvoteShare Job
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ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
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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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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 7 days ago - UpvoteDownvoteShare Job
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Define company data assets (data model), spark, sparkSQL and hiveSQL jobs to populate data modelsCollaborate with cross-functional teams, including Marketing, Data Science, and IT , to understand data requirements and design efficient data pipelines for marketing data integration.
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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Description The Liberty Mutual US Technology Data and Analytics Engineering (DAE) team is seeking a passionate Solution Architect for its Data Strategy & Design (DS&D) team to design our multi-year data & technology strategy for a holistic data ecosystem enabling business and technology capabilities through solutions in data management, Lakehouse, Business Intelligence, Data Science/Advanced Analytics via cloud technologies.
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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 5 days ago - UpvoteDownvoteShare Job
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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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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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data science jobs Title: project manager Company: Accenture Contractor Jobs
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