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Director, Data Science. Working knowledge of dashboard data visualization including: AWS Quicksight, Google Looker, and/or Microsoft Power BI. 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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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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Current enrollment in a master’s or doctoral program focused on survey methodology, experimental psychology, statistics, public policy, economics, political science or another quantitative research-focused social science field required.
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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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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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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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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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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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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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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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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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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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You will leverage your expertise in quantitative finance, machine learning, and data science to develop advanced models and analytics that drive trading strategies. Familiarity with Google Cloud Platform, cloud data warehouses like Google BigQuery, dbt or other batch ETL frameworks, distributed compute frameworks like Spark, Dask would be advantageous.
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data science jobs Company: Splunk in NH, Germany
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