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Oversee the Data Governance Working Group, coordinating project timelines and outcomes, program communications, and membership updates. Experience with data governance and reporting tools including Informatica Axon and EDC, Microstrategy, Power BI, Tableau, and BeX.
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Development, implementation, and maintenance of enterprise-wide data governance technologies, with a focus on improving data quality, data lineage and data discoverability.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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We are looking for a Staff Data Scientist to partner with our product, design, engineering and business leaders to drive adoption and retention for two of our emerging products. As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. Experience in building and designing solutions for data warehouses and experience in working with large data sets in Oracle and Snowflake.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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We are looking for a Data Engineer and/or Data Scientist who can work with complex data, focused, but not exclusively, on working with data from the National Internet Observatory (nationalinternetobservatory.org), a large, NSF-funded project.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera. Experience in data integration and building complex ETL pipelines using ETL tools, including Informatica, Datastage, Clover DX, AWS Glue, Knime.
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Proficiency in statistical programming languages (e.g., SAS, R) and clinical data management systems (e.g., Medidata Rave, Oracle Clinical) is essential. The Senior Vice President (SVP), Head of Data Analytics leads a multidisciplinary team responsible for biostatistics, statistical programming, and data management.
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Familiar with IT security/cybersecurity domains is a bonus, including but not limited to cyber engineering, Vulnerability Management, Cyber asset management, SAST/DAST, IAM (Identity Access Management), SSO, MFA, cyber threat intelligence, security operation, access control, network security, security vulnerability, insider threat, data loss protection, etc.
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Building this data management system will require incorporating and advancing best practices across statistical analysis, cloud computing, system networking, API generation, ontology management, database schema, query optimization, knowledge graphs, and security protocols.
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4+ years using cloud-based warehouse/data lake (Preferably in Azure Databricks metastores/catalogs or similar stacks such as AWS Athena/Redshift, GCP Bigquery, Azure ADLS, etc) Supporting the data organization through Azure Databricks admin tasks.
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Experience with tools that make up modern data stack, such as: Snowflake, dbt, DataBricks, Fivetran, AWS, git, census, Dagster/Airflow, etc. Scale Global Partner's ability to democratize data by leveraging a Modern Data Stack (Snowflake, dbt, Fivetran, DataBricks, Census, Dagster, etc.
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And domain-led (e.g., role-based awareness) cyber risk mitigation initiatives in close collaboration with the Digital Risk Leader for ERP and Finance data domains, amongst others. Holistic oversight over cyber & data risks/security topics: setting the vision in line with global Cybersecurity and Data strategy, providing directions and support to relevant cyber & data security initiatives in the Governance domain and its satellite initiatives.
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data job Title: data project manager Company: Crowdstrike in Boston, MA
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