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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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Education - Graduation from an accredited four year college or university with a major in Biology, Chemistry, or Forensic Science related area and successful completion of twelve (12) semester or equivalent credit hours covering biochemistry, genetics, and molecular biology or (molecular genetics) AND a three-semester credit hour (or equivalent) college-level statistics course from an accredited university or a program approved by the Commission is also required.
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Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You have at least 3 years of commercial experience developing and productionizing real-time projects in Machine Learning and Data Science. This is an amazing opportunity for a Senior Data Scientist to join a leading global optimizer of battery storage and renewable energy assets.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Data Processing/Analytics/Science, Computer and Information Science, Statistics.
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Serves as a data warehouse expert, specifically Clarity and Caboodle, consultant within the CommUnityCare. Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
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Bachelor’s degree or equivalent experience in marketing, library science, information science, communication management, archival science, or a related field. Bachelor’s degree or equivalent experience in marketing, library science, information science, communication management, archival science, or a related field.
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Participate in soil recharge studies involving horizontal directional drilling, measurement of water content using various sensors and geophysical instruments, data processing and related research activities.
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Job Description: The University of Texas at Austin, Bureau of Economic Geology, is seeking a highly motivated research scientist associate to collaborate on research in areas of hydrology, soil science, and remote sensing, with particular interest in the study of near-surface water resources using eddy covariance, field and lab measurements of springs and soil moisture, remote sensing, data management, and data analytics.
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Assist with wetland delineations and onsite protected species habitat assessments and surveys, including using electronic data collection with sub-meter accurate GPS, and conduct post-survey data/management and analysis.
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Experience building and deploying data science capabilities at scale via standalone applications, e.g., Shiny, Django, Flask, Angular or by embedding in business systems, e.g., SalesForce.
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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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As aPeople Analytics Senior Consultant,you willengage with clients to advance their people analytics capabilities across strategy, people, process, data and technology and to help them to deliver business-driven, actionable people insights across work, workforce and workplace topics (e.g., DEI, attrition, mobility, future of work, talent acquisition, compensation, performance management, etc.
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As SAP Master Data Management Technical Lead, you will be responsible for leading the planning, development and implementation of (MDM) and relevant software solutions that align to the Information Technology roadmap and business strategies.
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data science jobs Title: consultant Company: Xactly in Austin, TX
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