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Learn more at Janssen R&D, the Therapeutics Discovery organization is continuing to build the key scientific expertise to bring ground-breaking new medicines to patients; we invest in medicinal chemistry, screening, and pharmacology, and in the computational and data science fields that inspire and inform them.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$169,000 - $338,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Broad understanding of functional areas of drug development, including preclinical, regulatory, pharmacovigilance, drug supply, data sciences (data management, biostatistics, programming), and clinical operations (including site selection, study start–up, study conduct, and finalization.
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Master’s degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field (MBA Preferred.
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Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices. Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices.
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4 years of experience in managing, and mentoring data science, data engineering, and/or analytics teams in the financial services industry. 4 years of experience in managing, and mentoring data science, data engineering, and/or analytics teams in a highly regulated environment.
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Agility to collaborate and influence peers and business partners as organization matures across Enterprise Marketing Data & Analytics (e.g., marketing and ad tech. 10 years of experience working in data and analytics, including data governance and data innovation across an organization developing strategies, managing major initiatives, and delivering.
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Doctoral degree and 7+ years of experience in a research discipline relevant to patient-centered outcomes research (e.g., clinical epidemiology, health services research, sociology, psychology, health policy, biostatistics, economics, bioinformatics, data science, education or health education.
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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Masters or Ph. D. in computer or data science, mathematics, robotics, remote sensing, computer vision, AI, computational design. Bachelors in computer or data science, mathematics, robotics, remote sensing, computer vision, AI, computational design.
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Experience leading data science infrastructure strategy and implementation and familiarity with data warehouse design, development, and best practices. Job Description We are looking for a experienced leader to manage a newly centralized Data Science and Analytics team.
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5+ years of experience across a breadth of data science, AI and machine learning disciplines including, but not limited to: forecasting, natural language processing (topic modeling, semantic search, text classification), deep learning and GPU-based algorithms (CNN, LSTM), computer vision.
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Experience supporting DTRA Cloud Technologies, Data Engineering/Data Science knowledge, Cloud technologies, Analytic Tools. The ideal candidate will have a diverse skillset, with expert knowledge in areas including data engineering, data science, data stewardship, governance, quality assurance, knowledge management; and data management life-cycle.
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Educate relevant stakeholders in the theoretical and empirical bases of data science and behavioral science related to the deterrence, detection and mitigation of potential threats by providing or contributing to expert training briefs, presentations and educational courses.
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VP, Portfolio Management Data Science. Will lead initiatives to enhance processes and infrastructure, leading the implementation of data science initiatives, applying expertise in develop monitoring reports, dashboards, and predictive models to enhance risk assessment capabilities.
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data science jobs Title: science Company: Wcg
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