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Data engineering stack on cloud architectures - AWS, Azure, Google Cloud Platform (GCP) Design, develop and productionize data engineering pipelines on a massively parallel processing (MPP) and cloud-based tech stack, utilizing solution aspects from hybrid-clouds like Microsoft Azure, Amazon Web Services (AWS), data lakes and multiple data warehouses.
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Work-At-Home Requirements, if applicable: Must have the ability to provide a high-speed DSL or cable modem for a home office. Manage holistic security programs, including, identity management, security architecture, threat management and response, and application, data and infrastructure security.
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By applying, you consent to your information being transmitted by Monster to the Employer, as data controller, through the Employer’s data processor SonicJobs. Ability to work at heights, including ladders up to 40 feet, and in all weather conditions.
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Domain knowledge and experience with work flows and pipelines for media production: digital asset management and namespaces, familiarity with 3d frameworks, universal scene description, scene graphs, layers and models, 3d data packaging, rendering work flows, image composition, tools used in the workflow by artists, engineers, editors and content creators.
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USA, TX, Work-at-Home. Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Within our Software Solutions team, you will be innovating and engineering cutting -edge technologies to transform the future of customer experience (CX) and empowering our clients to work in new ways, learn from new insights, and rapidly seize new opportunities.
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Ensure steady process of transfer of advanced technology research (GenAI, LLM & SLM, machine learning, text & data mining) into core product development roadmaps. Knowledge of GenAI and LLM, skillful in using them (e.g., GPT-4) in daily work ranging from clinical practice to medical research.
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QUALIFICATIONS: You may be a successful candidate if you have experience in: Data Entry Services to/with individuals experiencing developmental and intellectual disabilities and their families Electronic Health Records Training, Coordination and Development Proficient in Microsoft Suite Education: Bachelor’s Degree in human service or related field required, MA preferred.
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3+ years’ experience utilizing Nielsen or IRI syndicated data with the ability to analyze and evaluate several sources of data to develop actional insights. At Sanofi Consumer Healthcare, we aspire to create a work environment where people can thrive, grow, and be at their best every day.
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The Vermont Department of Labor is seeking applicants with experience doing investigative work, knowledge of unemployment insurance, data evaluation and interpretation, customer service, and/or report writing to join the Fraud Unit within the Unemployment Insurance Division.
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Lead Earnest's strategy, measurement, and data-driven optimization efforts across all partnership marketing relationships for all our lines of business and help to define Earnest's future marketing investment as a leader within the marketing team and broader organization.
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Able to manage study start-up, and directs and guides study team in study execution, data cleaning, medical review, database lock, managing health authority responses. Experience in protocol development, medical review, oversight of study conduct, running trials, data quality and safety are strongly preferred.
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Coordinates Food Access Programs’ monitoring and evaluation, such as the creation of annual program evaluation with stakeholders; data collection and analysis; gaps assessment; streamlining organizational data tracking; and monitoring overall programmatic experience and feedback to inform program decision-making.
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Security: Compliance, Information Assurance, Data Protection using industry-best practices and tooling (Crowdstrike Falcon, Tenable.io, Splunk, HashiCorp Vault signers, PKI and Certificate Management.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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5+ years of Informatica experience using at least 2 or more of the following DEI (Data Engineering Integration), IDQ (Informatica Data Quality), Power Center, Power Exchange, REF360 or MDM (Master Data Management) tools.
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data entry jobs Title: work at home in Vermont
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