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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. Very Good understanding in Data Foundation initiatives, like Data Modeling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.
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Proactively solicit guidance from Standards, CAD, modeling, and verification groups to improve the design quality. Responsible for critical circuit design, simulation and data collection to drive key decision making.
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The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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They will spearhead and support the day to day operational needs of the business served and use data to identify and build operational efficiencies, best practices, and help support to drive strategies that align with business and firm-wide objectives Responsibilities: Lead assigned IT audit projects to achieve department guidelines and within established timetables with high-quality results.
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Minimum of 10 years of experience in supply chain and operations data as well as information systems such as: supply chain planning systems, automation systems, MES/DCS, machine sensorization, predictive maintenance, line scheduling, OEE or equivalent metrics, quality processes, yield optimization, etc.
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Monitors data collection, institutes procedures to assure data quality and guarantees study protocols are followed appropriately. MINIMUM QUALIFICATIONS: A master's degree in statistics, biostatistics, computer science, or a related field and three years of experience as a biostatistician, preferably in an academic setting, OR an equivalent combination of education, training, and/or experience.
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A bachelor's degree in business IT / Computer Science or a related field is standard, Agile, Business analysis, Data analysis skills, Jira, Microsoft Excel, Proven experience in eliciting requirements and testing.
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In this role, you will assist in driving automation, ensuring data quality, and creating effective metrics to evaluate the effectiveness of the sales compensation plans. At Dolby, science meets art, and high tech means more than computer code.
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Lead Data Engineers work in collaboration with other Data stakeholders and contribute to strengthening the links between data quality and data catalogs, data lineage, DataOps pipelines, etc., focusing on increasing the adoption of reliable data products built by the data engineering team.
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Moreover, major goals of the Division include a) Provide high-quality, timely, and actionable data; b) Support the awareness and implementation of impactful interventions inclusive of PSE changes; c) Strengthen systems and support across the lifespan and at critical transition periods; and d) Enhance coalitions, strategic partnerships, and technical assistance.
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Good working knowledge of software testing practices for contributing to high-quality software development. Bachelor's degree in Engineering, Computer Science, Finance, Economics, Mathematics, or related field.
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Computer Science, Information Technology, Integrated application quality assurance, Front-end applications, Automation testing tools and processes, Microsoft Azure services, DataBricks, Jira, Zephyr Scale, Agile development methodologies, Agile teams, Resolving data issues, QA skills.
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With a relentless focus on quality and innovation, Q2 Solutions uses its global experience and scientific expertise to transform science and data into actionable medical insights that help customers improve human health.
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Chemistry; Product Development; Continual Improvement Process; Research and Development Operations; Environmental Science; Microbiology Testing; Project Management; Food Sciences; Food Technology; Communication; Food Safety and Sanitation; Laboratory Testing; Data Compilation; Quality Control (QC); Green Solutions; Sensory Testing.
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OR an advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. Consulting, Software, Marketing, Product Management, etc.
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data science quality jobs in Atlanta, MS, United Kingdom
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