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An educational background in data science, machine learning, computer science, statistics/ biostatistics, mathematics, computational biology/chemistry, chemical/biomedical engineering, pharmaceutical sciences, or pharmacometrics.
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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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10+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Altana provides the world’s only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
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PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics.
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Data science techniques such as predictive analytics, machine learning, natural language processing and business intelligence, including use of big and non-tabular data.
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Build strong collaboration between Data Science, Machine Learning, and Data Engineering. Skills: Martech Stacks (CDP, DMP, DSP), Data Science, Media Agencies, Quant research and/or brand measurement experience, Data Science Manager.
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Stay up to date with the latest advancements in machine learning and data science to ensure our solutions are cutting-edge and effective. Proven prior experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role.
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As the Head of Data you will be responsible for leading centralized Data functions for Square including Data Science + Analytics, Machine Learning, and Data Engineering teams and will be the architect of Square’s Data strategy.
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Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including Machine learning AI, Mobile Optimized Surveys, Gamification, Behavioral economics, real-time feedback, Multimodal surveys, Blockchain technology, Virtual and Augmented reality.
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Adapt data science algorithms (supervised and unsupervised learning, decision trees, neural networks, AI based image processing and feature extraction, Bayesian learning, etc) for modeling clinical trial data to support drug development.
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MS or PHD degree in Computer Science or Machine Learning. Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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Bachelor's degree with 5 years of experience, A Master's degree with 3 years of experience or a PhD with 0 years of experience in Electrical Engineering, Computer Engineering, Computer Science, Applied Physics, Applied Mathematics.
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Requires three (3) years of experience in: (1) data analysis with Python and Python machine learning packages; (2) creating analytics tools to visualize KPIs in relation to equipment and process engineering; (3) MS Excel Macros and Pivot tables; (4) SQL, Tableau, and Spotfire; (5) knowledge of semiconductor process.
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Our work includes novel areas including machine learning/ AI, data visualization, and cloud technology. We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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data science applied mathematics machine learning jobs Company: Jobot
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