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Currently pursuing a Bachelor’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and no experience and will obtain degree prior to first day of employment.
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Apply a variety of spatial data science techniques to tackle customer challenges to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches.
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Graduate degree in Management Information Systems, Business Administration and Management, Business Analytics and Information Systems, Statistics, Mathematics, Computer Science, Physics, Economics or a similar degree.
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Bachelor of Science in Chemistry, Chemical Engineering, Data Science, Computer Science or related field. An excellent career opportunity is currently available for a Sr. RD Scientific Programmer within Honeywell UOP’s R&D Data Transformation and Testing Group located in Des Plaines, IL. This position will involve the development, implementation, and support of data systems along with multivariate analysis applications leading AI efforts across R&D.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
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This role is perfect for someone who thrives at the intersection of data science, data engineering, and business intelligence, and enjoys working closely with Federal clients to drive strategic decision-making through data-driven insights.
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Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks) Advanced level skill with SQL, Excel, data visualization (Tableau preferred), query tuning, various database models (normalized / dimensional / data vault / etc.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Sunnyvale, California, United States. The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step of solving problems.
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Current Master's - Data Science Internship - Summer 2025. 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.
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Data Science Intern This role has been designed as 'Hybrid' with an expectation that you will work on average 2-3 days per week from an HPE office. Works on assignments that are routine to moderately complex in nature and require ordinary problem resolution, such as contribute to building models for the overall solution, validating results and performance, and selecting the model that supports the overall solution, will support the research, identification, and delivery of data science solutions to problems.
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About the Opportunity: Reporting to the President of World Science U (WSU) and Executive Director of Education, or in their absence, the Director of Education, the WSS program Manager oversees daily operations of the WSS program, working intimately with world-renowned scientists and coordinating with the WSF media team to produce and film high quality courses.
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The Department of Mathematics & Statistics offers degree programs in Pure Mathematics, Applied Mathematics, Statistics, and Mathematics Secondary Education at the B.S. level, Applied Mathematics at the M.S. level, and a doctoral concentration in Data Science and Analytics within the multidisciplinary PhD program in Applied Science and Technology.
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The Product Director has accountability for creating the vision & strategy, managing the roadmap and executing on the product backlog working closely with cross functional teams across data engineering, data governance, data science and data analytics within AI & Data.
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Oversee the design, development, and management of scalable and reliable data engineering solutions that support data products deployment for use in advanced analytics, data science, and AI initiatives.
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PhD in Biomedical Engineering, Bioengineering, Electrical or Computer Engineering, Computer Science, or related Engineering and science discipline, such as applied math, applied physics, and data science.
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data science jobs Title: data science Company: Birlasoft
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