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Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. We build our services over Cash App's ever-evolving infrastructure, and as a senior engineer on the team, you will embrace these changes and scale our tech stack to promote future evolvability.
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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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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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The team is also responsible for building data science and machine learning solutions to optimize our payment services leveraging large scale datasets and advanced algorithms.
$194,000 - $355,000 a yearExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Experience with parallel programming, machine learning, bioinformatics, cybersecurity, sparse linear algebra or graph databases is preferred. Experience with machine learning, bioinformatics, cybersecurity, sparse linear algebra, and/or graph databases are highly preferred.
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The Principal Associate of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.
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As a Principal Engineer for our Data Platform team, you will be responsible for modernizing our data platform and practice. 10+ years of professional experience as a Data Engineer, focusing on building scalable data solutions.
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Relevant ExperienceExtensive experience with, both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/DatabricksStrong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniquesDeep understanding of artificial intelligence concepts, experience with AI frameworks and libraries such as TensorFlow or PyTorch is also valuable.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
$234,700 a yearRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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VP, Portfolio Management Data Science. Will lead initiatives to enhance processes and infrastructure, leading the implementation of data science initiatives, applying expertise in develop monitoring reports, dashboards, and predictive models to enhance risk assessment capabilities.
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A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and.
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Machine learning or software engineering project management experience. VantAI is building a computational pipeline combining state-of-the-art physics-based modeling and machine learning to revolutionize drug discovery and development.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, DataRobot, C3, Panopticon, Talend, Trifacta, Selerity, ELK, KPMG Ignite etc.
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machine learning data science jobs Title: senior software engineer in New York, Columbia, Missouri
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