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Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience as a Senior Data Engineer (or closely related occupation) designing, developing, testing, and implementing Snow Scripts and Snowflake Tasks to enterprise analytics data lake platform.
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Job Requirements REQUIRED: Ph. D. in materials science and engineering, solid state physics, or related field by September 1, 2024; background in programming, preferably with Python, artificial intelligence, and tomographic data processing; ability to perform in situ or operando measurements using X-ray computed tomography; and ability to build and set up furnace compatible with beamline configuration and to work as part of a team and support other group members during their beamtime.
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Bachelor's or Master's STEM degree - computer science, data science, economics, mathematics, actuarial sciences, engineering, or physics preferred. Use client data and industry losses to perform model validation processes that enhance KCC's latest catastrophe models.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry's business. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy.
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Bachelor’s degree (or foreign education equivalent) in Applied Mathematics, Computer Science, Engineering, Information Technology, Information Systems, Information Management, Mathematics, or a closely related field and five (5) years of experience as a Director, Data Science (or closely related occupation) launching, operating, leading and implementing document processing, computer vision, and Deep Learning (DL) practices using TensorFlow, Keras, MXNET, or H2O.
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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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Expert knowledge in cloud platforms, especially Azure, in the context of AI/GenAI solution development and deployment, and common tools in data science. Description The OpportunityThe Director of Sales & Marketing AI/Advanced Analytics will lead a team of Data Scientists and Data Engineers / Machine Learning Engineers to ideate, design, develop and implement AI/Advanced Analytics solutions to achieve desirable business result.
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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
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The HDMI work is supported by a grant through the Bill and Melinda Gates Foundation, a champion of scaling up dietary data for better policy-making. The Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy is dedicated to advancing nutritional well-being for people worldwide through excellence in research, teaching and the shaping of public policy.
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Preferred Qualifications: Experience with workflow orchestration software and best practicesExperience with the Django ecosystem (Django, DRF, Django-ninja), data science and ML packages (pandas, numpy, scipy), and workflow automation tools (airflow, dagster, prefect), and related tools (pydantic, fastAPI.
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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. Expert at statistical methodology, and the use of statistical software, coding, data analysis and effective presentation of results.
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We are defining the landscape of cancer vulnerabilities by integrating CRISPR screens with the molecular features of the cell lines and using novel data science approaches. The position includes data analysis, scientific interpretation, and experimental assay development.
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Experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics, and in deriving insights from such analyses will be advantageous. Advantageous to have experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics.
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data science jobs Title: manager Company: Takeda Pharmaceutical in Boston, MA
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