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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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A deep technical background in applied data science, spanning some or all statistics, experimentation, machine learning, causal methods, optimization techniques, data engineering and architecture (applied to large data), and behavioral analytics.
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We are seeking a Data Science Fellow, to develop essential skills in healthcare analytics and modern methods in artificial intelligence/machine learning to advance research in precision medicine.
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3+ years experience in advanced analytics, statistics, or data science role preferred. + Familiar with current and emerging techniques in analytics (machine learning, deep learning, AI.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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Integrating innovative approaches in individual and team work products such as machine learning, artificial intelligence, data mining, predictive modeling, neural networks and simulation to mitigate price/value leakage across the pursuit and delivery phases of an engagement.
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The successful applicant will be responsible for developing a strong research program integrating data science approaches (advanced statistical techniques, machine learning, deep learning, AI or similar), data management approaches (curation and publication of reference data sets), latest sensor technology, and/ or advanced modeling techniques for applications in agricultural sciences.
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Position Summary – As an Artificial Intelligence Specialist you will employ a wide range of AI techniques, to include deep learning and machine learning, multi-agent systems, expert systems, and mixed-initiative human-machine teaming to enable outstanding intelligent collection and the exploitation of data from our collection systems.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You will be impacting every aspect of the business and it will require various techniques, from diving deep into data with SQL and Big Data tools, all the way to deploying modern machine learning models.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience: 9 to 12 years and PHD in Data science/Statistics highly preferred. Preferred PHD in Data science/Statistics. BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Statistics or another quantitative field is preferred.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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We are looking for analytical problem solvers who enjoy diving into data, excited about data science and statistics, can multi-task, and can credibly interface between engineering teams and business stakeholders.
$136,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Build, validate, test, and deploy machine learning or other data science models to predict and influence the behavior of consumers with the goal of optimizing products & processes.
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Postgraduate education (MS or PhD) in an applied quantitative field is strongly preferred (such as Machine Learning, Statistics, Operations research, Information theory, Control theory, Econometrics etc) or equivalent experience working in data science or machine learning engineering.
$240,000 - $725,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago
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