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Working directly with Senior Management, investment professionals and top executives from portfolio companies, the Data Scientist will be responsible for the implementation and ongoing operational readiness of an array of data science technologies and practices to enable the firm's ability to analyze complex data sources, develop predictive and analytical models, and advise on smarter data utilization.
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Familiarity with SQL, Python, R, and/or other coding languages for data analytics, data science and/or data engineering required. 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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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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PhD or equivalent, with a focus on polymer chemistry, organic chemistry, molecular biochemistry, materials science, or a related discipline. OXMAN is seeking a Materials Scientist to join an all-star interdisciplinary team of deep thinkers and brilliant makers.
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Various modeling, simulation, and data analysis roles including but not limited to COMSOL, ANSYS, Python, C. Enrolled in a STEM undergraduate or graduate program (mechanical engineering, aerospace engineering, materials science, electrical engineering, etc.
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MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry or other related subject (will also consider BS degrees in these areas for candidates highly qualified across other requirements or with significant work experience.
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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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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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We work closely with other Treasury-Finance teams (Liquidity Management and Capital Markets), Stripe's Information team (Data Science and Data Engineering), Stripe's Money Movement & Storage (MMS) product and engineering teams to build great capital and financial risk infrastructure.
$223,600 - $335,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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General knowledge of data science programming languages such as R (preferred) or Python, and proficiency in database query tools such as SQL. We're seeking an enthusiastic Actuarial Analyst who enjoys diving deep in data and producing quality reserve analyses.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline. Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team.
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They are seeking a talented Data Lake Architect to work full-time and join their fully remote team. Mentor team of peers ranging from database developers, analytical experts, and data integration/visualization engineers by providing technical & non-technical guidance to help them grow their skills, deliver quality implementations for successful completion of projects.
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Technology polymath: Experience with a wide range of technology and can learn and develop any solutions across the full data science lifecycle and application stack. Proficient with Data Warehousing solutions (e.g., Redshift, Snowflake, BigQuery, Lakehouse, Data Mesh, Medallion Architecture.
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A PhD and postdoctoral experience in quantum information science and technology, photonics, condensed matter physics, or materials science. For this important work, we seek, for three open positions, dynamic and personable individuals with a strong scientific background in one or more of these areas: quantum information science and technology, photonics, condensed matter physics, or materials science.
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data science scientist jobs Title: data science sr specialist in New York, NY
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