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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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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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This includes but is not limited to candidates with terminal degrees in Modeling and Simulation, Engineering, Computer Science, Data Science, Informatics, or other areas relevant to the KDT initiative.
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O Familiar with a data warehouse / data mart OLAP environment leveraging data in star schemas, snowflake schemas, and similar data structures; o Familiar with data modeling in the context of transforming data from an OLTP system to an OLAP or other data warehouse related structure.
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Data-driven decision-making is essential to game development at EA. We're looking for a thoughtful and disciplined Data Scientist with deep statistical modeling experience, strong data engineering experience and a passion for games and digital technologies.
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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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Data-driven decision-making is essential to game development at EA. We're looking for a thoughtful and disciplined leader with deep statistical modeling experience, strong data engineering experience and a passion for games and digital technologies.
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Fintech Expertise: Access to expertise in machine learning, data science, big data, and AI, providing opportunities for continuous learning and exposure to cutting-edge technologies.
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Proficient with data analysis, modeling, and visualization using Earth Volumetric Studio (EVS), geographic information systems, database systems, and numeric computing environments. + BA/BS in Environmental Engineering, Geology, Environmental Science or related field + 6 years of related experience or demonstrated equivalency of experience and/or education.
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Experience with data modeling, machine learning algorithms, optimization, and data science techniques e.g. decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, cross-validation, and model evaluation.
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5-7 years of experience in data visualization tools, Salesforce Marketing Cloud and SQL; related technologies such as data modeling, analytics, and predictive concepts; or equivalent combination of education and experience.
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Preferred knowledge of programmatic coding languages such as Python and R. Knowledge of statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred.
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Bachelor's Degree in computer science, modeling and simulation, networking, engineering, or related field. Strong background in LVC modeling and simulation with emphasis on interoperability and data exchange.
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5+ years using R, Python, and SQL to apply modeling methodologies and deliver insights ingesting, cleaning and leveraging data from disparate data sources. EDUCATION: Advanced degree (M.S., or M.A., or Ph. D.) in relevant quantitative field (e.g., computer science, mathematics, engineering, statistics, data science, business analytics) required.
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Uses catastrophe modeling software to estimate the losses that could be sustained due to a catastrophic event. The Actuarial Analyst is responsible for supporting business needs with data analysis and insight.
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modeling data science jobs in Orlando, FL
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