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Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, digital forensic experts, network engineers, senior investigators, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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At least 3+ years of experience working with Snowflake cloud data warehouse. At least 5+ years with Data Warehouse architecture design and solutioning. At least 2+ projects operating in Lead Data Architect role.
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Work collaboratively with other data scientists as well as product, clinical and software teams at Eko. Option to Telecommute. Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Keep list of data steward up to date in the data governance catalog. Support implementation of data governance capabilities in the data catalog platform. come and join our global team as a Data Governance Intern.
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Work collaboratively with appropriate Technology teams to manage security mechanisms and data access governance. As Senior HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Responsible to analyze the trade / transaction monitoring alert from a trading platform and apply modern data science modeling techniques to predict future disputes & anomalies to proactively manage the risk.
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The individual must be detail-oriented and a fast learner in order to work with all Equifax's major data assets and a rapidly changing technology environment. Data sits at the center of all information products and analytics solutions delivered by Equifax.
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The TS/MS data Scientist will work closely with plant and lab TSMS functions to deliver automated data analysis and monitoring to increase efficiency, productivity, and process automation.
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I, Must be a Certified Oncology Data Specialist (ODS) by National Cancer Registrar Association. Under the general supervision of the Oncology Data Manager, this position is responsible for the identification of patients with cancer.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Most often the SAP Architect-Data will work with the module experts on the SAP team and the SAP Architect-Business Process to understand all the use cases and end-to-end scenarios that the data must support.
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Primary Purpose The Principal Enterprise Data Architect is responsible for oversight, technical review and strategic alignment of the entire data and analytics ecosystem at Parkland Health, including environments and solutions that support healthcare Artificial Intelligence applications.
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Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks. Enterprise data modeler provides expert support across the enterprise information framework, analyze and translate business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models , data flows.
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Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more.
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Au minimum 10 ans d'expérience dans la conception et la mise en œuvre d'une solution de données à grande échelle en production opérationnelle sur Microsoft Azure Snowflake Data Warehouse. Minimum 10 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse.
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Responsibilities: Work closely with cross-functional teams, including product managers, data scientists and engineers to understand project requirements and objectives ensuring alignment with overall business goals.
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data job Title: work at home Company: Data Entry Work At Home
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