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You have strong data science skills , including thorough experience with Python data packages, classical machine learning libraries and deep learning frameworks, and data visualization.
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Johnson & Johnson Innovative Medicine is recruiting for a Senior Scientist, Discovery Data Science to help advance Artificial Intelligence/Machine Learning (AI/ML) for Drug Discovery.
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6+ years of experience in data science, analytics or quantitative intelligence analysis/digital forensics, and demonstrating progressive technical development and outcomes. Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, digital forensic experts, network engineers, senior investigators, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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MS or higher in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful. We're looking for a Senior Data Scientist with a focus on Growth to join our team.
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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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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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The TS/MS Data Scientist role will be responsible for identification and development of solutions using data science methods and principles to generate deeper insights from a greater variety of internal and external data sources.
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We are seeking a sales-oriented Data Scientist — think Sales Engineer, but for Data Science — with a track record of managing cross-functional projects and communicating quantitative results to a lay audience.
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The Data Science and Digital Health Analytics & Insights team within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Responsible to analyze the trade / transaction monitoring alert from a trading platform and apply modern data science modeling techniques to predict future disputes & anomalies to proactively manage the risk.
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USDA Agricultural Research Service is currently recruiting for a Soil Scientist/Agronomist/Agricultural Engineer at in Beltsville, Maryland. Related degrees may include Soil Science, Agronomy, Agricultural Engineering, and Natural Resource Conservation.
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Experience with building AWS cloud-native data science applications. Either a patent, or speaking roles at major data science conferences (Open Data Science conference, etc.
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Ph. D. in Biochemistry, Molecular Biology, or related field with a strong focus on protein science. Proficiency in data analysis and scientific software tools (e.g., GraphPad Prism, MATLAB, Python.
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Data Scientist - Computational Social Science Lab. Competency in scripting and programming languages commonly used in data science, such as Python, R, SQL, and possibly others like Java or Scala.
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