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Experience in cloud-based data warehouses/data lakes : Strong experience in architecting and implementing solutions using cloud-based data warehouses or lakes, such as AWS S3, Google Cloud Storage, Azure Data Lake, or Snowflake.
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SAP MDG Functional: 12+ years of seasoned Customer Master Data Architect with experience in Informatica Customer MDM and SAP Master Data Management & Governance solution with at least 5 full cycle in Customer Master Data Solutions for CPG customers.
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5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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Responsible for assisting the JDE Gatekeeper Data Steward team and the SAP Customer Facing Master Data Operations team with updates to both systems for customer data and associated attributes.
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Hands on experience with Azure Data Factory, Azure Databricks and Fabric for data integration and real-time analytics. Azure Data Engineer - We are looking for a Mid-level Azure Data Engineer with a minimum of 5 years of experience working in Data science projects, preferably GenAI projects.
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Should be familiar with big data platforms like AWS EMR, AWS Glue, and Databricks. The R&D group at Client is seeking a Cloud Data Developer / Engineer to work on a team building data lake(s), warehouse(s), pipelines, and machine learning models which will be utilized to drive drug development through predictive modeling of disease and drug response.
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In addition, the College offers graduate programs leading to master’s degrees in Accounting, Applied Mathematics, Business Administration, Contemporary Instructional Design, Computer Science, Creative Music Technology, Data Science, Educational Leadership, Nursing, Social Work, and Special Education, as well as a Doctor of Nursing Practice.
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To be considered a (Ph. D., MS, or MD, PharmD., B. Pharm with master’s degree) in HEOR-related field (e.g., health economics, epidemiology, healthcare/data analytics, health services research, public health.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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The New York Knicks are looking to expand the capability and impact of their performance science team and are looking for a Data Engineer with expertise in biomechanics-focused data. Proficiency in programming languages such as Python, R, SQL and relevant data engineering tools.
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Experience with CRISPR screens, data analysis, and bioinformatics is a plus. Designing experiments, analyzing and plotting data, communicating findings in meetings with the lab and within Regeneron.
$49.02 an hourExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Seeking experienced, rigorous, and innovative leader to head Regenerons Molecular Profiling Computational Data Sciences research team, consisting of approximately 35 dynamic researchers supporting all therapeutic areas, core technology groups and clinical development units at Regeneron in the design, generation and interpretation of high dimensional data sets from key platform technologies such as single cell RNA sequencing, bulk RNA sequencing, TCR/BCR sequencing and spatial transcriptomics.
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The Accountant compiles data for regulatory reporting in accordance with established procedures and regulatory requirements and ensures timely and accurate reporting and documentation. Prepares monthly income statements by collecting and consolidating accounting data.
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Good Samaritan Hospital in Suffern, NY, is a 286-bed hospital providing emergency, medical, surgical, obstetrical/gynecological and acute-care services to residents of Rockland and southern Orange counties in New York; and northern Bergen County, NJ. The hospital is home to a recognized cardiovascular program, comprehensive cancer-treatment services, the area's leading Wound and Hyperbaric Institute and outstanding maternal/child services that includes a Children's Diagnostic Center.
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3+ years of experience in data science or machine learning roles, preferably within the cryptocurrency or financial sectors. Stay updated with the latest trends in cryptocurrency, machine learning, and data science methodologies to enhance analytical capabilities.
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The Medical Science Liaison (MSL) is a field-facing representative of US Medical Affairs with a primary responsibility of engaging in the exchange of scientific data and other medical and/or scientific information with external customers (Health Care Providers, researchers, professional organization leadership, and population-based decision makers) in the areas of Eisai’s interest.
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data job in Chestnut Ridge, NY
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