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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Applies knowledge of hydrometeorological data science, including that of emerging research, to advise on business decisions and program direction. Graduate degree, or working towards completion of a graduate degree, from an accredited college or university with major coursework in Meteorology, Atmospheric Science, Hydrology, Scientific Computing, Civil Engineering, or related field.
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Preferred Qualifications Education and Experience Advanced degree in research methods, economics, public policy, program evaluation, statistics, data science, or other quantitative social science discipline.
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Educational Requirements: BA/BS with an undergraduate focus in Analytics, Finance, Statistics, Applied Math, Data Science, Economics, or a related field. Senior Data Analyst at Realtor.com (View all jobs.
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Data Science and Machine Learning experience. Bachelor’s degree required, preferably BS/BA degree Statistics, Applied Econometrics, Math, Analytics, Computer Science, other related Core Sciences or equivalent.
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Bseacd.org. The Data Analyst supports the District’s General Manager (GM) and other staff including the Regulatory Compliance and Aquifer Science teams. A Master’s degree (MS) in Geography, Environmental Science/Studies, Geology, or closely related discipline, and five years of related work experience or a Bachelor’s (BS/BA) degree and seven years related work experience.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Bachelor's degree in Business, Economics, Statistics, Data Science, Environmental Science, or a related field; a Master's degree is preferred. As a Strategic Business & Data Analyst, you'll play a crucial role in leveraging mathematical analyses for sustainability, operational efficiency, and strategic positioning.
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BS/BA degree in marketing, engineering, statistics, economics, computer science, or equivalent. The team is hiring a Customer Intelligence Analyst to enable our marketing teams to target the right audiences with the right content, including invitations to key events, tradeshows, and technical seminars.
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Proficiency with advanced data science techniques, such as neural networks, natural language processing (NLP), or unsupervised learning methods. In-depth understanding of data science methods, including regression, classification, tree-based methods, and time series analysis.
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Reporting to the Director of Product, the Senior Data Analyst will deliver high-quality strategic and tactical analysis; collaborating with the product, engineering, data science, business intelligence, member experience and operations teams.
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Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace. Background in data science, mathematics, actuarial science, or engineering.
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Both Levels: Each year (30 semester hours) of coursework in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field may be substituted for one year of full-time experience in data analysis, research, compilation, and/or reporting work.
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Strong data science skills and demonstrated research experience in analyzing model data, such as output from regional-scale hydroclimatic models and hydrologic models related to climate extremes.
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As a Senior Analyst , you will be responsible for deploying solutions using data science techniques, working with cross-functional digital teams, building supervised and unsupervised models, conducting data mining and analysis, optimizing code, and implementing deep learning and model deployment techniques.
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science job Title: data analyst in Austin, Fernley, Nevada
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