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Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) designing, implementing, and developing applications in Sybase, SQL server, Oracle, Informatica, Python and Azure.
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Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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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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Prior experience applying data science techniques to oil and gas drilling data. 5+ years' applying data science techniques to oil and gas automation projects. Provide guidance on algorithm design, research, deployment, and general operations to the data science team as a whole.
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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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This role requires an individual who is adept at the technical aspects of data analysis, industry leading data science methods, and also the project management skills needed to lead strategic initiatives and liaise between departments.
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Requires a Master’s degree in Computer Science, Mathematics, Statistics, Engineering or related field, plus two (2) years of data science or related experience in data analysis including experience deploying ML (machine learning) models in different deployment architectures, databases, streaming and messaging queues; designing data labeling workflows with cloud-based tools in AWS or GCP; optimizing model performance; and conducting error analysis on baseline ML models.
$159,650 - $175,615 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
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Deep knowledge of common programming languages (Python, R, Julia), data science packages and frameworks (Pandas, NumPy, Scikit-learn, tidyr, tidyverse). Bachelors Degree in Computer Science, Statistics, Mathematics, Data Science, Computer Engineering, or similar field.
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Stats and domain area: Demography, Socoieconomic data wrangling, spatial data management and formats, data science experience. Contribute to Open Spatial Lab and core facility projects in a variety of topic domains focused on geospatial data science and interactive cartography, including public health and demography, food insecurity, urban ecology, and climate justice.
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Proficiency in ML/Data Science/Statistical Modeling languages such as Python, R to build Propensity Models, Customer Segmentation, Churn Scores, Forecast Models etc. 3+ years of expertise with modern data science workflows on the cloud (Git, Jupyter, Python, AWS, Azure.
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More information about the Data Science department can be found at Particular strengths of collaborative research at UO include environmental science, ecology, evolution, linguistics, cell and developmental biology, sport and wellness, earth science, and spatial information sciences.
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As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
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Minimum Requirements: Masters degree in Computer Science, Data Science, Mathematics, Statistics, or a closely related analytical field of study and 3 years of experience as a Data Scientist or AI Engineer working in the industrial automation or automotive industry.
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Stay updated on the latest developments and trends in data science, machine learning, and GCP, and share knowledge and insights with the team. Passionate about data science, health care, and GCP.
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data science jobs Title: management trainee Company: Johnson Johnson
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