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3+ years of hands-on experience with data science and analytics, modeling platforms, data engineering software and visualization tools (e.g. Advanced SQL, R, Python, SAP HANA, Spotfire, Tableau, Hadoop, Redshift.
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Perform Root Cause Analysis on master data issues and drive continuous improvement on processes and systems. Your key responsibilitiesMaintain master data appropriately ensuring accuracy, consistency and reliability in SAP and other dependent systems.
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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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Develop and execute a strategic vision for leveraging data science methodologies to streamline and enhance the efficiency of HR, Finance, and Legal operations. Demonstrated experience with Python, R, and data science libraries such as Pandas, NumPy, Scikit-learn, etc.
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Familiarity with emerging Analytics / Data Science capabilities and their application to healthcare / life sciences. Broad knowledge of secondary pharmaceutical data sources such as Retail & Non-Retail data, Medical & Pharmacy Claims, EMR, Lab Test/Diagnostics, Chart Audits, Patient Hub & Specialty Pharmacy Data, 852/867 EDI and Health System/Payer – Plan hierarchies.
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Develop relationships cross functionally with Data Science, Precision Medicine, Digital Health & Data, and Platform & Partnership teams to drive continuous strategies. Uses SAS, SQL, or other programming skills to create analytical datasets from health care claims, electronic health record, surveys, and other data sources by following protocols and statistical analysis plans.
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A proud U.S. Department of Energy National Laboratory managed by Princeton University, Princeton Plasma Physics Laboratory (PPPL) is a longstanding leader in the science and innovation behind the development of fusion energy — a clean, safe, and virtually limitless energy source.
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Qualifications: Bachelor's degree in Computer Science, Information Systems, or a related field. 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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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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Demonstrate competency with laboratory work and use of analytical instrumentation Interpret XPS analytical data and apply understanding of the data to solve specific problems Knowledge/experience in other surface analysis techniques is a strong plus, e.g. XRF (X-Ray Fluorescence), SEM (Scanning Electron Microscopy), RBS (Rutherford Backscattering Spectrometry.
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PREFERRED EDUCATION, EXPERIENCE, OR QUALIFICATIONS:AICP (American Institute of Certified Planners), Master’s degree Public Administration, Political Science, Community Planning, Environmental Planning, or closely related field.
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Qualifications Education and Training: BS in Chemistry, Cosmetic Science, Physical Chemistry, Chemical Engineering or related sciences with 5+ years of formulating skin/sun care personal care products OR Masters degree with 3+ years’ experience.
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Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics, physics or engineering.
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The ideal candidate for this position should have work experience in cell therapy process development, manufacturing science, analytical development, and familiarity with GMP/FDA/ICH guidelines.
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Researchers within PETS and the Institute have great depth of expertise and experience in the analysis of Medicaid, Medicare, and private insurance data and the application of social science theory and advanced statistical techniques in large data sets.
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data science jobs Title: systems engineer in Dayton, NJ
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