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Bachelor's Degree in a relevant field (e.g., Mathematics, Statistics, Computer Science) Perform data discovery, analysis, and modeling. This is a Hybrid opportunity requiring the qualified professional to work onsite a few days a week.
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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An understanding of Bayesian Statistics, Machine Learning, Non-Linear Estimation Methods, Optimization, Transaction Cost Modeling, or Data Visualization is a plus. The team is responsible for researching all aspects of the investment process from data processing and alpha modeling through to portfolio optimization.
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Deep understanding of statistical techniques and proficiency in using programming languages (Python, R) and libraries for data analysis (exploration, cleaning, transformation, modeling) specific to medical imaging.
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A quantitative master’s or Ph. D. degree from an accredited college or university in one of the following fields: Engineering, Economics, Statistics, Applied Mathematics, Physics, Computer Science, Data Science, or Operations Research.
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We are currently seeking a highly qualified Operations Research Systems Analyst (ORSA) to join our team at MacDill Air Force Base, FL, and play a pivotal role in formulating and applying mathematical modeling and optimization methods to support USSOCOM in decision-making, policy formulation, and other managerial functions.
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7+ years of relevant industry experience in positions with a focus on statistics, data science, measurement, marketing strategy & analytics. Research and develop cutting-edge media measurement solutions using advanced statistical modeling and machine learning techniques.
$132,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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At least five years of experience in data management disciplines including data integration, modeling, optimization, data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
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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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Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.
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Proficient at remote sensing modeling (e.g., data cleaning, feature selection, analysis, designing, building, and model assessment). Develop and perform raster-based imagery analysis procedures, spatial and statistical modeling applications.
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Image based time series analysis and crop phenology modeling; Image based crop yield modeling. The successful Remote Sensing Scientist candidate will be responsible for working with our growing geospatial team comprised of remote sensing/GIS experts and a range of agronomic, environmental, and other land-based science disciplines.
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Part-Time Bilingual Chinese / English Academic Specialist TON: High Level Mathematics And Statistics
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AP and lower college level, for our high school and college tutoring programs: AP Statistics, Statistical Concepts, Statistics, Probability and Mathematical Modeling, Statistics and Data Analysis, Data Science, Business Statistics.
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The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
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At least five years' experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
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