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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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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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Experienced technical lead for the data science team, with experience mentoring team members. Conceive, plan and prioritizing data projects with the Director of Data Science & Machine Learning.
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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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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience using the Python data science/ML stack in a collaborative development environment using version control tools (git). Apply new technologies and methods in data science, data engineering, and data visualization to improve the technical capabilities of the team.
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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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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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The HPC Administrator, as a member of the Scientific Computing group, is responsible for a computational and data science ecosystem for researchers at Mount Sinai. The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery.
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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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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 2.
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Assist with testing and data validation activities involving PwC, DSC, RJW, Celigo, and Orderful. Proven ability to manage testing and data validation processes with multiple stakeholders, including PwC, DSC, RJW, Celigo, and Orderful.
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Alternatively, must have a Masters degree in Finance, Economics, Engineering, Statistics, Mathematics, Computer Science or a related field and 4 years of experience in data analysis, capture, transformation, and understanding business processes.
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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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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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data science jobs Title: school teacher in Newark, NJ
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