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Remote Sensing, Image Processing, Computer Vision, Data Science. Geospatial Analytics and Machine Leaning: You have demonstrated understanding of machine learning/deep learning frameworks, statistical concepts, and geo-statistics and spatial data analysis.
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Bachelor’s degree in Computer Science, Electronic Engineering, Electrical Engineering, Information Systems Technology, or a related field and 5 years of progressive, post baccalaureate experience as Engineer III, Data Engineering or related occupation in the Big Data software development engineering.
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Qualifications Bachelor’s degree in computer science, Data Science, or data engineering 3-5 years of experience as a Data Analyst with exposure to data governance practices.
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The employer will alternatively accept a Doctorate (Ph. D.) degree in Computer Science, Data Science, or related quantitative field of study plus 1 year of experience in the job offered or as Applied Artificial Intelligence Machine Learning Associate, Data Scientist, Software Engineer, or related occupation.
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EVERSANA Data & Analytics team applies advanced analytics and AI/machine learning techniques to the breadth of healthcare and non-healthcare data integrated with our deep clinical expertise to provide a unique and unmatched suite of services and products to the pharmaceutical and healthcare industries.
$240,000 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Candidates will be considered from any specialization within surface processes/geomorphology; those focusing on coastal processes, natural hazards, or the cryosphere, and who use tools such as numerical modeling, remote sensing, and big data science are especially encouraged to apply.
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Bachelor's degree (B.A.) in education, a social science discipline (e.g., psychology, sociology), public health or social work and two years of applicable experience in program evaluation or social science research and/or equivalent experience.
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A Senior Research Scientist that specializes in organ transplantation and social behavioral science, chronic disease will work mostly with primary data collected through large multi-site studies and clinical trials in support of NIH and DoD funded research.
$115,000 - $150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge, Skills, and Abilities - We are interested in people with any of the following subspecialties (instrumentation, data science, and general astrophysics) and expect to grow our team with varied expertise.
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Integrating Databricks with other AWS products such as SNS, SQS, and MSK.What we are looking for: Bachelor's or master's degree in computer science, Information Technology, or a related field. Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem.
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Day to day you’ll be building ETL pipelines, modeling data to feed analytical reports and data science models, designing data access tools, or building data models in Looker.
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Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.
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data science jobs Title: deep learning in New York
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