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Master’s degree in Bioinformatics, Computational Biology, Biostatistics, Data Science, or related field with 3-5 years’ experience working directly with metabolomics and other -omics data.
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Post doc is sought in the area of data-driven plant science and stress assessment to support remote sensing in environmental engineering, starting in Summer 2024 or shortly after. The CII staff members are specialized in big data and information technology, civil and environmental engineering, computer science and engineering, and mechatronics and mechanical engineering.
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Other duties as assignedEducation Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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Director, Data Science. We are specifically looking for someone who understands the role of the digital analytics director and the critical part that this team will play in scaling the digital transformation at SBNA. This person should be completely at home helping build and grow a team that can both lead in the data collection and syndication , as well as in the insights and analytics necessary to drive growth and improve customer experience.
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PREFERRED QUALIFICATIONS - PhD degree in Statistics, Economics, Applied Mathematics, Computer Science, Data Science, or a related quantitative field. BASIC QUALIFICATIONS - Master's degree (or Bachelor's degree + 5 years of equivalent experience) in Statistics, Economics, Applied Mathematics, Computer Science, Data Science, or a related quantitative field.
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Specialty: Computer Science, Information Systems, Data Engineering, Business, Mathematics, Data Science/Analytics, or other data-related discipline. Specialty: Computer Science, Information Systems, Engineering, Business, Mathematics, Data Science/Analytics, or other data-related discipline.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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An earned doctorate, Ph. D. preferred, in Educational Psychology, Cognitive Psychology, Data Science, Cognitive Science, Information Science, or related fields. Qualified candidates will have a strong research program focused on one or more of the following areas: theoretical and empirical examinations of the various ways people think and learn in relation to technology and AI; factors that influence learning with AI or the trust of AI; design of AI-based systems that incorporate cognitive science theories; and ethical and societal implications of AI in learning and education, including bias and data privacy.
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Job Title: Data Science Engineer. Specialized Area: Data Science. Data Warehousing Experience with Oracle, Redshift, Teradata, Snowflake, etc. We are looking for an intellectually curious, business/tech-savvy, analytical powerhouse to join The Walt Disney Company's DTCI group as a Data Analyst in Data Platform and Analytics team.
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The Product Director has accountability for creating the vision & strategy, managing the roadmap and executing on the product backlog working closely with cross functional teams across data engineering, data governance, data science and data analytics within AI & Data.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 7- 8 years' experience in data science or a similar role. Proficient in at least one analytical programming language relevant for data science.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
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Experience with data science, statistical analysis, data mining, and predictive algorithms to support advanced/predictive analytics. Exposure to Data Lake, Lake House concepts, and technologies like Snowflake, AWS RedShift, or Databricks.
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data science account jobs Company: Cigna in CT, Canada
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