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Seeking a VP with expertise in computational chemistry and data science, ready to enhance and expand a state-of-the-art computational platform. Oversee the growth and management of the computational chemistry and data science teams, fostering a cohesive environment across US and China operations.
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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience: PhD in computer science, data science, computational biology or bioinformatics, preferably including industry experience OR Masters degree & 5+ years of directly related experience OR Bachelors degree & 7+ years of directly related experience.
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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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As a Data Science Senior Manager, you will have end-to-end ownership of custom models, algorithms, and other data products that feed directly into TRM’s UX. In collaboration with a highly skilled team of engineers, data scientists, and research scientists, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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We're building the world's most advanced healthcare platform from the ground up, combining hardware, software and doctors under one roof.
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Expertise in data science, machine learning, and artificial intelligence concepts, methods, and techniques, such as regression, classification, clustering, natural language processing, computer vision, or deep learning.
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Partner with our soil science group to collect and evaluate data about soil samples, soil organic carbon, and geospatial data. This is a dream job for someone who loves working with data, is curious about soil science, and wants to join a growing startup with literal planetary-scale impact.
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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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The Department of Radiology and Biomedical Imaging at UCSF is seeking a postdoctoral fellow interested in quantitative imaging and data science with application to breast cancer diagnosis and treatment.
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PhD in a field relevant to biomedical research (bioinformatics, biomedical engineering), or computer science (computer science, machine learning, artificial intelligence) or similar. The Pirruccello lab is also part of the Bakar Computational Health Sciences Institute and the Institute for Human Genetics at UCSF, and the Data Scientist will be part of the larger computational community and infrastructure.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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data science jobs Title: data architect Company: Applied Materials in San Francisco, CA
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