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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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Candidates will be considered from any specialization within surface processes/geomorphology; those focusing on coastal processes, natural hazards, or the cryosphere, and who use tools such as numerical modeling, remote sensing, and big data science are especially encouraged to apply.
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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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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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Experience building decision-support applications based on Data Science and Machine Learning. Experience with AWS services and Databricks, and ideal if they've developed data pipelines in airflow or any streaming services (Kafka, Kinesis, 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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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.
$46.62 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine Learning | Data Science | Computer Vision | Technology | Government | Radio | Artificial Intelligence | Deployment | Production | Startup | AI | MLOps | Machine Learning Operations | AWS | Python | Radio Frequency | Embedded Systems | Signal Processing | TensorRT.
$180,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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The Agribusiness group offers data and research solutions on major crops and food commodities, fertilizers, biofuels, crop science, and animal health. More specifically, responsibilities include:Perform emissions calculations to quantify GHG with agricultural activities such as crop production, livestock farming, and land use changes, in strong collaboration with the Centre for Emissions Excellence and the Data Science teams at S&P Global Commodity Insights.
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Experience with at least one ESB or modern IPaaS such as MuleSoft, Dell Boomi, Informatica, SAP Data Services, etc. Bachelor's degree in Computer Science, Management Information Systems, Engineering, Management Information Systems, or another related field or requisite industry experience of 12 years with technology integrations.
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Strong knowledge of SQL and Python libraries used for data science. Experience in data visualization and business analytics tools like Alteryx, Tableau and Microsoft PowerBI is a plus.
$135,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A master's degree in a social science, public health, statistics, computational sociology, data science, or equivalent training in a related field and a minimum of five years of progressively responsible related work experience; or a bachelor’s degree in a related discipline and seven years of progressively responsible related work experience.
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8+ years of experience in data engineering or full-stack quantitative analytics/data science roles. Experience working with data SaaS and BI tooling (Fivetran, Looker, Databricks, etc.
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Facilitate cross-functional relationships that interact with data science (e.g. communications, legal, IT, vendor management, etc.) The Senior Data Science role is an opportunity to hone project leadership and subject expertise skills as part of a collaborative team while building and implementing this vision for data science as a tool to dismantle mass incarceration and further racial equity.
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photonics data science jobs in New York
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