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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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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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Master's in data management, Bioinformatics, Data Science, Biostatistics, Biology or related field. Bachelor's in data management, Bioinformatics, biotechnology, computer science, information technology, engineering, mathematics, physics, data science or related discipline.
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Data Science, Python, TIME SERIES, NLP, LLM. Experience with common data science toolkits and libraries, such as Pandas, NumPy, SciPy, Scikit-learn. Position- Data Science.
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Drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, social & cognitive science.
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This is a full-time position located on Redstone Arsenal in Huntsville, AL. The person in this role will use/modify existing AI/ML tools to perform advanced data science, data analytics, and data collection task.
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Work with the Data Science Services team to provide beginning to intermediate data analysis consulting services for faculty, students, and staff from a wide range of disciplines across the university in the following areas: Data Engineering Extract, scrape, process and engineer data using a variety of tools such as Python, R, Stata, NVivo, etc.
$117,150 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Candidates working towards a Master's degrees or a PhD in quantitative disciplines such as Data Science, Statistics, Applied Mathematics, Computer Science, Bioinformatics, Computational Linguistics or related quantitative disciplines.
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Client is seeking a talented AWS DevOps/MLOps Lead to develop platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the big data and data science team.
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Several Division faculty have leadership roles in major cross-disciplinary initiatives, including the Biostatistical Design and Analysis Center (BDAC ) of the Clinical and Translational Science Institute and the Biostatistics Core of the Masonic Cancer Center, the Analytics Core of the Masonic Institute for the Developing Brain, the Innovative Methods and Data Science and RapidEval Programs in the Center for Learning Health Systems Sciences, and the Genomics Data Commons.
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Responsibilities:Enterprise Data Engineering Delivery:Oversee the design, development, and management of scalable and reliable data engineering solutions that support data products deployment for use in advanced analytics, data science, and AI initiatives.
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Applying data science methods (i.e., statistical modeling, machine learning techniques: regression, forecasting / predictive modeling, decision trees) to healthcare and Life Sciences business problems.
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For Data Science: Familiarity with data science platforms such as Databricks or Dataiku, particularly for AI/ML model support and deployment. Primary specialization in one of the following three areas: Data Analytics, Data Warehousing, or Data Science.
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Master’s degree in data science/bioinformatics/computational biology/machine learning or related field. Support various teams for the processing and interpretation of next-generation sequencing (NGS) data and ensure timely delivery of results.
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data science jobs Company: Protiviti in WA, Germany
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