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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Provide customer support services including guidance of instrument and sensor selection, data recording equipment, calibration, and 3D printing. The Successful Instrument Lab Lead Will Meet the Following Minimum Qualifications: Associates Degree in science related to Industrial Equipment or Automotive Systems.
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Bachelor's degree in Statistics, Mathematics, Data Science, or a related field; advanced degrees preferred. They must have strong experience using a variety of data analysis methods and data science libraries to build and implement new models.
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Advanced degree in Marketing Science, Data Science, Statistics, Economics/Econometrics, Operations Research, Computer Science, Mathematics or Engineering. 3+ years of experience in Data Science with a focus on marketing, customer analytics and/or financial products.
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As a key member of the Core Experiences product team on eBay Live, you will work closely with data science and engineering to define and build experiences our Live sellers and buyers will rely on to detect and address trust & safety issues on the platform.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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Bachelor’s degree in Business Analytics, Data Science, Mathematics, Statistics, Economics, or related field or equivalent experience. Join the team committed to crafting inspiring spaces and developing new ways to construct state-of-the-art facilities across the Sports + Entertainment and Data Center construction landscape.
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Preferred Qualifications:- 3+ year of experience in a professional GIS work environment, with specialization in PLS Cadd Modeling and Vegetation Management Detection Analysis- Master's degree, in geography, environmental studies/science, planning, or a related field with an emphasis in GIS- Strong leader with skills in facilitation, training, team building, collaboration, organization, and problem-solving.
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To provide estimating, benchmarking & commercial management services on our key technology client’s data center construction program in The Dalles, Oregon. + Data Center construction experience is strongly preferred.
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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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Proficiency in SQL for querying and managing data within Snowflake or other relational databases. Requires a bachelor s degree in business, computer science, engineering, management or other related field or equivalent experience.
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Under direct supervision, assist with preparing environmental survey reports, data entry, impact assessment, and permitting activities for assigned tasks (e.g. Endangered Species Act, Clean Water Act permitting, CEQA, NEPA, etc.
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Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum five (5) years experience in data analytics or a directly related field.
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Opportunities for participation in clinical trials and investigator-initiated research in health policy and care disparities exist through [2] CARDS[3] (Center for Cardiovascular Analytics Research and Data Science.
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Associates' Degree in a life science or laboratory science/Medical Technology. Benefits: All job offers will be based on a candidate s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data.
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data science jobs in Portland, NH, Hawaii
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