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Overview Princeton Plasma Physics Laboratory is seeking an Alternating Current (AC) Power Electrical Engineer with experience in design, procurement, commissioning, operation, and management of electrical AC power systems and associated equipment to join our staff in the Facilities Engineering Division.
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Experience with general programming and data analysis tools/languages such as Python, R, Spotfire would be particularly desirable. Stay informed with emerging literature and science in the systems biology/pharmacology modeling and simulation sciences.
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Requirements: Required Bachelor’s degree in computer science, Business Information Systems, Business, Mathematics & Statistics, Engineering or relevant discipline, or a comparable combination of education and work experience Minimum 5 years’ experience in implementing and managing Privilege Access management solutions.
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MSc in Computer Science, Bioinformatics, or related field and 6+ years of demonstrated working experience as a data engineer or, alternatively, a PhD in a relevant area plus 3+ years of experience.
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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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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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Experience with data pipeline and workflow management tools: AWS Glue, Airflow,etc. We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
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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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Proficiency in the use of all tools of trade (including welding equipment, paint equipment, shop machines, and power tools). -Other projects and tasks as assigned by supervisorQualifications:-At least 3 years of body shop management experience required-At least 3 years of practical body shop experience required-Estimator Certification required-High School Diploma or equivalent required-Vocational/technical school preferred-Specialized training and experience in the repair/refinish of all series of truck and trailer.
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Lead data architecture and design discussions, providing guidance on best practices for data management and governance. Troubleshoot and resolve issues related to data processing and storage, ensuring minimal disruption to business operations.
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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.
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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.
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BSA Analyst responsibilities include: Administering the Bank Secrecy Act/Anti-Money Laundering Program and related procedures in accordance with Bank’s policies, procedures, and applicable federal regulations.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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This includes providing weekly, monthly, and custom reports utilizing tools such as Google Analytics, Power BI, Adobe, Google Data Studio, Google Ads, and Microsoft ads. Data-Driven Storyteller : You will use web analytics tools (GA4, Adobe), Data visualization and reporting platforms (PowerBi, Google Data Studio) and our proprietary AI marketing platform, LXRInsights, to convert data into actionable insights and share these with clients and team members as an expert storyteller.
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