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Performs analysis of reports and production data to identify trends and recommend updates or changes to quality standards and procedures when necessary. TTC, a Curtiss-Wright company, are a recognized leader in comprehensive and integrated data acquisition through telemetry systems that include data analysis units, sensors, transmitters, receivers, and ground station analysis tools to measure, record, transmit, and analyze aircraft and munitions parameters during test flights.
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Identify potential data quality issues and collaborate cross-functionally to understand impact and a resolve. Minimum 2 years of experience on Amazon Web Services such as VPC, S3, EC2, Redshift, RDS, EMR, Athena, IAM, Glue, DMS, Data pipeline & API, Lambda, etc.
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Works collaboratively with clinical project managers, statistical programmers, clinical research associates, and others to meet project deliverables and timelines for clinical data acquisition, quality checking, and reporting.
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This is a leadership position within MST that requires advanced technical expertise in protein purification skills, included but not limited to chromatography, filtration (tangential flow, depth, viral and dead end) in addition to general knowledge for mammalian cell culture processes and/or, formulation, protein product quality attributes, and advanced data analysis skills.
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Identify opportunities to enhance data quality, consistency, and accuracy through data profiling and cleansing activities. If you are a passionate and driven Business Intelligence Developer with a strong background in ETL, SQL, Data Modeling, and Visualization, we encourage you to apply by submitting your resume to bk@ Please add me on LinkedIn.
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Required Skills : •3-5+ years in Python •Proficient understanding of distributed computing principles and Resilient Distributed Dataset •3+ years of Agile Scrum and Scrum Kanban experience •Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala •Experience with NoSQL databases, such as MongoDB, HBase, Cassandra •Experience with Big Data frameworks such as Hadoop, Apache Spark, Apache Beam.
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Our Data team supports the Bloomberg Industry Group (INDG) business, which offers outstanding tools, search, and analytics for products in the areas of Law, Government and Tax. Bloomberg is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers.
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Data Quality, Privacy and Protection Work closely with Legal, Privacy, Strategic Corporate Transactions, and Data Protection Office to ensure appropriate protections are in place for privacy, regulatory and contractual compliance.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
$113,325 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Directs the tracking of deficiencies, test results, or other regularly reported quality control data. We are looking for a dedicated Construction Quality Control and Quality Assurance to join our talented team at our office located in Somerset, NJ.In this role, you will use your technical knowledge and skills to effectively train, supervise, communicate, execute, and manage the IPS Construction Quality Control and Quality Assurance (QA/QC) program for ongoing Construction Projects.
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The Position The Rapid Cycle Analytics (RCA) Lead Data Scientist role sits within the Clinical Data Science and Evidence (CDSE) team, which is part of CMR. This role interfaces with internal stakeholders from Health Economics and Outcomes Research (HEOR), Real-World Evidence (RWE), Medical Affairs, Clinical Trials Operations, Market Access, and a few other teams to respond to quick turnaround data analytics requests.
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Co-own with relevant stakeholders the site HSE continuous improvement plan considering Firmenich HSE global Strategy, HSE global management Principles & Codes, Data, new business requirements, new/updated regulations and employees’ input and by providing data analysis, trending, and recommendations and providing technical and administrative direction on HSE matters at the site.
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Minimum of 5 years of experience in machine learning and AI, with a focus on large language models and generative AI.Versioning control tools, Git, Gitlab, CICD tools, Dockers and KubernetesKnowledge of data science, machine learning & deep learning models and expertise in statisticsExperience with machine learning frameworks such as TensorFlow, Keras, or PyTorch and other open sources ML frameworks.
$95,625 - $159,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Similarly, the NOAA Geophysical Fluid Dynamics Laboratory (GFDL) has world-leading expertise in climate modeling and access to valuable climate, weather, and air quality data. The GFDL and PPH are collaborating to better understand the impact of climate on human health to build models that will integrate health, genomics, environmental, and climate data across scales of geography and time.
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Key products include data acquisition units, recorders, network products, RF networks, airborne transmitters and receivers, and telemetry expansion cards. We are committed to achieving total quality by meeting our customers' expectations and delivering products and services in a timely fashion.
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data quality jobs Title: architect Company: Spectrum in Ewing, NJ
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