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Data entry, data review, and GPS use. REQUIREMENTS:BS/BA degree in natural science field of study required. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography.
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Bachelor's degree in Business Administration, Computer Science, Mathematics, Engineering, Accounting, or a closely related field and three years of progressively responsible related experience in natural gas utility operations, gas measurement, transmission, and distribution; or.
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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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Master’s Degree (optional) in a related field, such as Privacy Engineering, Cybersecurity, or Data Science. Implement data privacy and data engineering solutions for Azure products and services: (Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory, Azure Functions, Event Hub/Service bus, Azure Stream Analytics, Azure Databricks, PySpark, logic apps etc.,) and traditional data warehouse tools.
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Work internally within KPMG's other areas within Tax, Audit and Advisory to advance the client understanding of Data Science, Artificial Intelligence, and Advanced Analytics; Work very closely with emerging technologies group within AI service providers (e.g., AWS, GCP, Azure) to provide a first-in-market solution approaches to complex business problems.
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The Quantitative Biomedical Research Center (QBRC) is a well-established research center at UTSW that develops innovative quantitative and data science methodology and fosters collaborations involving quantitative methods and technologies in all aspects of biomedical research.
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The Assistant Environmental Scientist will assist in conducting environmental and siting studies, preparing permitting applications and analyzing environmental data for various types of projects, including high-voltage transmission line routing, power generation construction activities and water treatment facilities.
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Analytically intensive math, statistics, engineering, science or other related fields requiring ability to frame abstract issues into problem statement, analyze and model data, and formulate insightful conclusions that support decision making.
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The ideal candidate will have earned a Ph. D. and/or M.D. in biomedical engineering, electrical engineering, physics, material science, computer science, or a related field. Specific focus research areas are open but may include the development, testing and application of nanomaterials, organic electronics, diverse sensors and autonomous or intelligent sensor systems.
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You will report to a senior member of the team and operate as a key asset within the Corporate Data Science Center of Excellence, a team comprised of data scientists, data engineers, business analysts, program/product managers, and others.
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Experience with records management software, document management and data management solutions such as Filetrail, IRM, Intapp (Walls, Activity Tracker, Legal Holds), iManage, Prosperoware (Milan, Zone Bulk Email Import, CAM, Desktop Export/Import,) and RBRO (Import/Export Management) is required.
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Proven understanding of computer science fundamentals, data structures, and algorithms to ensure alignment to data engineering methodologies. Solid experience with cloud data warehouse platforms such as Snowflake, Redshift, BigQuery, Synapse, Databricks, etc.
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Currently enrolled in an MA or PhD program in a field that emphasizes quantitative social science research, such as Industrial/Organizational (I/O) Psychology, Economics, Behavioral Science, Data Science or Analytics, or a related field.
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C C# Python JavaScript React & Angular DevOps and Cloud Engineering Networking IAC GCP AWS Azure Data Engineering & Analysis Data Pipelining RPA PMO & Business Analysis Technical Analysis If you have strong experience in any of the above this is what we are looking for.
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As a Data Science Sr. Manager at CarMax, you’ll apply your passion and expertise in data, machine learning, and entrepreneurship to create data-science applications that enrich CarMax’s culture of innovation.
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data science jobs in Dallas, RI, France
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