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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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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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Work closely with the Chief Data and AI Officer to define and implement CVB’s data science strategy, emphasizing systems modeling, multi-omics, and neuroimaging. Cohen Veterans Bioscience (CVB) is seeking a Director of Data Science to lead our initiatives in translational research and clinical program development, with a special focus on neuropsychiatric disorders such as PTSD, TBI, and related conditions.
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You will leverage workflow scheduling applications and data ingestion infrastructure that powers the analytics and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
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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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Bachelor's degree in computer science, Information Systems, Software, Electrical, or Electronics Engineer, or comparable field of study, and/or equivalent work experience. We are looking for a Lead Data Engineer to design, augment and elevate the metrics used to measure our consumer facing search, recommendations, promotions, and messaging experiences.
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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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Experience with Data Engineering practices and tools (ETL, Snowflake, Spark). You will be embedded with the Engineering teams that build these experiences and be a thought and data partner throughout the product development lifecycle to ensure the right metrics are designed and engineered for each initiative.
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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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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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Experience leveraging big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.
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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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Digital technologies may include, and not limited to, Artificial Intelligence/Machine Learning/Data Science, Robotics, AutoBots, IoT, Big Data, Blockchain, Augmented Reality/Virtual Reality, Social Media/Collaboration, and Mobility.
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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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Collaborate with NPM's staff across Clinical Science, Digital Health, Software Engineering, Data Science, and Informatics to detail AI model functionality and requirements - to significantly increase efficiency and reduce cost in the areas of medical document control, clinical information extraction, information synthesis, and clinical note preparation.
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data science jobs Title: data engineer Company: Capital One
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