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A degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field (Masters or PhD preferred for Senior Manager direct hires.
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Current PhD - Data Science Internship - Summer 2024. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
InternExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with citations software, for example Endnote, and software for data and image analysis and illustrations is needed. May be asked to interpret complex data sets. The Department of Pathology at Dana-Farber Cancer Institute is seeking an experienced M.D. or Ph. D. scientist with technical expertise in diagnostic assay development and/or research pathology, as well as research administration, scientific writing, and project management.
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The SOPAX Data Science team consists of highly skilled Data Scientists working together following an agile methodology and design thinking. - Experience with common data science toolkits, such as R, Weka, Python/NumPy, MatLab, etc.
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The Urban Institute's Data Science team is hiring a Data Scientist to work with researchers across the Urban Institute and our change-maker partners to apply data science tools and techniques to generate new evidence, data, and analytic tools that inform public policy.
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EDF Renewables North America is a market-leading independent power producer and service provider with over 35 years of experience. Perform composite repairs on wind turbine blades, including but not limited to, delamination repairs, laminate patching, core repair, leading-edge erosion protection, and surface finishing.
Full-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
$75,600 - $172,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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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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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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Data Management & Automation: Knowledge with data systems like Snowflake or Microsoft Azure and proficient in querying and managing data using SQL or tools like Alteryx and Power Automate / Query.
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Lead the creation of the data strategy, data governance, and associated practices in collaboration with the CIO. Extensive knowledge and experience in data engineering, data analytics, data governance, AI, and data transformation.
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4+ years of experience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization.
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Data Storytelling and Visualization: Ability to effectively communicate insights and next steps through visualization tools such as PowerBI or Tableau. This involves using statistical methods, data mining techniques, and visualization tools to derive actionable insights.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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Title: data science Company: Edf Renewables North America in Mclean, VA
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