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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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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or appliedmathematics as necessary to carry out role effectively. Azure Data Engineer Outdefine Partner Web3 10-50 San Francisco, CA, USA Apply Now.
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Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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Ph. D. in Bioinformatics, Computational Biology, Genetics/Genomics, Bioengineering, Computer Science, Biostatistics, or a related field. We are looking for a Head of Data Science to tackle complex computational questions within the gene-editing space.
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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.
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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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Ph. D. in Bioinformatics, Computational Biology, Computer Science, Genetics, Physics, or related field, with hands on experiences in NGS data analysis. Have a proven track record across a wide range of computational biological methods, including but not limited to: next generation sequence data analysis, especially bulk RNAseq and scRNAseq, and data mining.
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Required Skills: Education :Master’s degree in Computer Science, Data Science, Engineering, or related field. Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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7+ years of professional experience as an optimization engineer or data scientist working on problems in wholesale energy markets, preferably bidding renewable energy assets. Plus Power's team applies an intentional mindset to energy storage development by using a data-driven approach to development and operations.
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Education - Bachelor's degree in Molecular Biology, Biology, Chemistry, Applied Mathematics, Physics, Electrical Engineering, Computational Biology, Biostatistics, Bioinformatics, Computer Science or related discipline; postgraduate degree (Master's, PhD) is highly preferred.
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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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We are seeking a highly skilled Director of Data Science & Analytics to shape our company's data-driven decision-making. A track record of designing and executing data science roadmap and delivering data products and insights that influence engineering and business decisions.
$200,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Computational Biology, BioInformatics, or equivalent experience. You have a strong background in data science, graph mining, and graph simulations.
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10+ years of experience in data engineering, data science, and software engineering. Bachelor's or Master’s degree in Computer Science, Information Systems, or related field, or equivalent work experience.
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computer science data jobs Title: engineer Company: Epsilon in San Francisco, CA
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