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Ph. D., MD, MD/PhD, or equivalent terminal degree in Data Science, Bioinformatics, Neuroscience, or a related field. Recruitment/Posting Title Open Rank Associate Professor/Professor in Data Science.
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Master’s Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations. Master’s or Ph. D. in a quantitative field such as computational linguistics, computer science, artificial intelligence, mathematics, cognitive science, or other relevant quantitative field.
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Required Skills Master’s or Ph. D. in a quantitative field such as computational linguistics, computer science, artificial intelligence, mathematics, cognitive science, or other relevant quantitative field.
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We also offer Master's degree programs in Computer Science, in Bioinformatics, in Data Science (jointly with Dept. of Math/Stat), and in Computational Linguistics (jointly with LLD, expected to begin in Fall 2024.
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The clinical science concentration is dual-accredited by APA and PCSAS; it maintains its own in-house clinic for graduate training and participant recruitment, as well as practicum sites at Grady Hospital, the Emory Clinics, and the Atlanta VA, among others.
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Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.
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They have some of the foundational elements in place for a modern data stack (Redshift, dbt, Segment, Kubernetes, Docker, Airbyte, Mode) and an active data science practice. They are looking to invest in ensuring that the core infrastructure (on which all of their research depends) is scalable, tested, robust, and able to evolve to meet their constantly changing data science needs.
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Comfortable working with Python data science and machine learning libraries such as scikit-learn, TensorFlow, Keras, pandas, numpy, PyTorch, XGBoost. Master's or Ph. D. in Data Science, Computer Science, Statistics, or a related field.
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5 years data science/business intelligence/data analytics experience using common BI tools (Cognos, Tableau, etc) and demonstrating SQL mastery. Scripting: Python, Spark, Unix, SQL Data Platforms: Teradata, Couchbase, MongoDB, Oracle, SQL Server, ADLS, Snowflake.
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Sur les thématiques suivantes : Data Engineering, Modern BI & Analytics, Data Science/IA, Data Platform & Architecture. Vous pourrez développer et certifier vos compétences sur les solutions Modern BI & Data Viz de pointe comme Power BI, QlikSense, Tableau et Looker.
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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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As part of the team in the Stone Center, the Research Coordinator works closely with Berkeley Wildlife, the Eric and Wendy Schmidt Center for Data Science and Environment, and the Institute for Parks, People and Biodiversity.
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This position works closely with the Mauna Loa Solar Observatory (MLSO) science team to validate existing scientific image processing pipelines, work with the MLSO team on new data pipelines, assess data quality, develop and test new algorithms to improve MLSO data, and provide data tools for use by the community.
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Working with a faculty adviser, the postdoctoral fellow will conduct specialized research in one or more areas of Atmospheric Science , including atmospheric chemistry; climate and atmosphere-ocean dynamics; cloud microphysics, severe storms, and mesoscale meteorology; data assimilation, machine learning, and causal discovery; education and human resources; global biogeochemical cycles and ecosystems; and radiation and remote sensing.
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data science jobs Company: Progressive in NE, Germany
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