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DescriptionJohnson & Johnson Innovative Medicine is recruiting for a Director, Early Development Lead-Solid Tumor Oncology to join the J&J Research and Development Data Science and Digital Health team.
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The Department of Data Sciences at Dana-Farber Cancer Institute drives cancer research through innovation and collaboration in the quantitative sciences. Statistical Skills: Expert at statistical methodology, and the use of statistical software, coding, data analysis and effective presentation of results.
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Data science, machine learning, optimization models, Master's degree 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.
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5 years of experience with data science and analytics technologies such as Python, SQL, Tableau, Alteryx, AWS Redshift and Lambda, and/or Google Cloud Platform. Define and evangelize the strategy, roadmap, and execution plan to deliver new data science and analytics capabilities to enable Thermo King’s customers and achieve our company purpose while enabling rapid growth.
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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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Experience in Data science, machine learning, optimization models, PhD/Masters in Machine Learning, Computer Science, Information Technology, Operations Research, Simulation, Statistics, Applied Mathematics, Econometrics.
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Artificial intelligence, recruitment, machine learning, data science, staffing, ai, community, podcast, Computer Vision, Deep Learning, data engineering, big data, automation, ServiceNow, splunk, digital transformation, executive search, data analytics, cybersecurity, software engineering, software development, and it.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Lead and participate in solutioning sessions, working hand-in-hand with business/client, translating business objectives into actionable machine learning/data science use case.
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Major or area of specialization: Bachelor's degree in Business Administration, Data Science, Legal Studies, or related business degree. Manages the Data Privacy Manager system, including ensuring the data maps are updated and correct, reviewing consumer requests to determine our compliance requirements, and tracking each consumer request from intake to closure.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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MS or higher in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful. 5+ years of experience in data science or related fields.
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Data Science and ML, Master Data Management, Data Governance, Data Quality Management. Analytics and Data Science tools, technologies, and techniques (R, Python, algorithms, Azure ML Studio/Services.
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By your actions, improve data quality and outcome for the data engineering, analytics and data science users and producers of data. Bachelor’s degree in Computer Science with focus on data engineering preferable.
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This position is focused on Data Science. Overseeing teams and programs analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences [SPSS], Statistical Analysis System [SAS], R Analytics, Statistics and Data [STATA]) to discover new patterns and behaviors providing DHS Headquarters (HQ) and/or Component stakeholders actionable recommendations.
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data science jobs Title: data architect Company: Microsoft
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