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The Technical Data Reviewer , reporting to the Sr. Director of Quality Control, will be responsible for reviewing experimental data within the Quality Control and Analytical Development laboratories along with technical documents such as reports, protocols, and standard operating procedures.
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The Data Operations team is an integral part of the Quantitative Research and Investing (QRI) division in Asset Management providing support to all QRI Product and Research teams related to Equity, Fixed Income and ESG activity.
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Solution Architecture with focus on Big Data; Requirements capture, conceptual and contextual architectures, technology selection, detailed design, and planning. During implementation, the Data Solutions Architect will work with both the broader IBM Consulting data leadership team and key project stakeholders to gather data requirements, define, and execute the data strategy.
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Technical knowledge of big data technologies and be an expert in writing complex queries in SQL. Expertise with data warehousing and database systems such as Amazon Redshift, Google BigQuery, Snowflake, or similar tools.
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Partner with key internal stakeholders including the ESG controllership to advance our data governance framework and maintain documentation of processes, procedures and SOPs around data collection, verification, and assurance of ESG metrics and KPIs.
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Duke Regional Hospital is small in size but big in caring for our patients, their loved ones and each other. Duke Regional Hospital is the second largest of Duke Health's three hospitals and offers a comprehensive range of medical, surgical, and diagnostic services, including orthopedics, weight-loss surgery, women's services, and heart and vascular services.
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You hold a Doctorate degree (e.g., PhD, ScD, DrPH) in Biostatistics/Statistics with no industry experience, Data Science, Bioinformatics, Biological Sciences, Public Health, Math, or a closely related field, or a Master's degree and 2 - 3 years of relevant experience or a Bachelor's degree in one of these fields with 4 - 5 years of relevant experience.
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Preferred Qualifications: Extensive Experience (5+ years) working with People Analytics or other HR Data functions Bachelor’s/Master’s degree in Computer Science, Information Technology, Data Science, or related field.
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Functioning as the subject matter expert, the Data Governance Manager defines the scope and priorities for developing, deploying, and refining data management standards, policies, and processes while collaborating with cross-functional teams, information technology (IT) professionals, and key stakeholders.
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The Chief Technology Officer (CTO) is responsible for overseeing the end-to-end technology architecture of Aspida's Annuity Sales Automation Platform, including aspects of infrastructure, data, application services and digital experience.
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Management Preferences:Experience as a Wildlife Conservation Technician;Experience directing the activities of other workers;Pesticide Application or Prescribed Burn experience;Skill to identify wildlife and plants;Skill to operate GPS units and associated GIS software;Ability to collect, analyze and report on field research data; Special Requirements: Possession of a valid North Carolina driver's license is required within 90 days of hire.
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The Scientific Knowledge Engineering team, which sits within the Onyx Product Management organization, is responsible for the data modeling, ontology definition and management, vocabulary mapping, and other key metadata activities that ensure Onyx platforms and data assets speak scientific language.
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5+ years of proven experience in implementing Big data solutions in data analytics space. Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.
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Role: Principal Data Analyst/Data Modeler with Cryptocurrency experience. Principal Data Analyst/Data Modeler. - Demonstrated experience in the following areas: Database Management Systems, Data API design and implementation, PL/SQL, Warehouses, Data modeling and Data profiling.
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Experience with big data technologies and frameworks is a plus. Marken is currently seeking an experienced Data Scientist to join our team, someone who is passionate about data-driven insights and has expertise in problem-solving, programming, statistics, machine learning, data analysis, data visualization, and exceptional storytelling skills.
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big data jobs Title: data project manager in Durham, NC
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