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Engineering, Data science or another quantitative field (i.e. mathematics, statistics, economics, etc.) Bachelor's degree preferably in Engineering, Data Science (Mathematics, Statistics or Economics.
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Research in Computational Data Science and Engineering includes: big data and computational statistics, AI and Machine Learning, internet of things, large and complex systems, intelligent transportation and infrastructure systems, remote sensing, autonomous vehicles, virtual and augmented reality, e-commerce, image and video processing, scientific and interactive visualization, high-performance computing, scalable algorithms, bioinformatics, and multi-scale multi-physics engineering systems.
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A Full-time, Director of Data Science - NLP, LLM and GenAI job is available with our client, a leader in risk management solutions leveraging automation and AI/ML, located in NYC. This is a remote role.
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In collaboration with data curators, science subject librarians, and the staff of the Data, Research, Exploration, Access, Methods (DREAM) Lab, the Earth and Environmental Sciences Research Facilitator will create and implement the Library's support plan for researchers in the Earth and Environmental Sciences.
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Additionally, the Senior Director will help build and lead a new team within Audubon Technology, operating in close partnership with the other Data & Technology teams (Data Analytics, Data Engineering, and Enterprise GIS), Audubon Conservation (including the Science Division), the Chief Strategy Integration office, and other business teams across Audubon.
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Duties: Draw on experience with: Lean Six Sigma, automation Delta V, manufacturing execution systems (MES), data analytics, process modelling, and statistical analysis, aseptic operations, validation to set strategic direction for the site, including leadership of process improvement activity, capacity increases and introduction of the clinical pipeline into the site to deliver on pivotal and commercial launch responsibilities.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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What you’ll be responsible for:As our first Data Science hire focusing on Machine Learning at Circle, you’ll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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Awareness of carbon accounting, Science-Based Target Initiative, TCFD alignment process and sustainability reporting frameworks such as GRI, GHG Protocol, CDP, the Airport Carbon Accreditation Program, and/or SASB.Strong data analysis skills with experience translating outputs into data visualization graphics.
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Advanced coursework and/or research in Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields. 5+ years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies.
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Bachelor’s degree in Computer Science, Engineering, IT, MIS, or a related disciplineExpertise in Python, SQL, and RExpertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON Expertise in ETL concerning metadata management and data validation Expertise in Unix and Git Expertise in Automation tools (Autosys, Cron, Airflow, etc.
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Experience: You have Ph. D. (or MS with 4+ years of post-MS experience) in one of the following areas: Remote Sensing, Image Processing, Computer Vision, Data Science. You will follow data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility.
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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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data science jobs Title: science director Company: Execunet
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