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Experimental chemical engineering and materials science research on heterogeneous and homogeneous catalysis and electrocatalysis, polymer circularity and upcycling, polymers for applications in chemical separations, water purification, resource recovery from waste streams, or electrochemical conversions.
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OTHER QUALIFICATIONS A preferred candidate should have: · Ph. D. degree in economics, sociology, political science, demography, public policy, or a related social science discipline; o Applicants must have completed their Ph. D. no more than seven years prior to the application date.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
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7+ years of data management and analytics experience in either banking, consulting, or cryptocurrency. Familiarity with programming for data analysis; ideally Python, SQL, or R. Experience working hands-on with other cross-functional team leaders, such as lawyers, engineers, product managers, data scientists and operations teams in improvingpliance processes and systems.
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OR, (2) A bachelor's degree from an accredited college/university, including 16 semester hours of biological science (with one course in microbiology), 16 semester hours of chemistry (with one course in organic or biochemistry) and one course in mathematics, AND two years of post-certification clinical laboratory experience (, blood banking, chemistry, hematology, microbiology, immunology, clinical microscopy, etc.
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PREFERRED QUALIFICATIONS- Experience working directly with Engineers on product enhancements- Experience in project management methodologies, business analysis, or process improvement- Experience owning data-centric products.
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CIB ex-trading and CB MRGR - Responsible for VaR and Market Risk Capital, Counterparty Credit Risk and XVA, Wholesale Loss Forecasting and CIB Data Science. or Master's degree program in Engineering, Mathematics, Physics, Computer Science, etc.
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We are the only cloud service that delivers on-demand virtualized IBM Power LPARs and x86 VMs in Azure and IBM cloud data centers. Our software platform turns raw infrastructure provided by our cloud partners into a secure, self-service, multi-tenant IaaS. For example, an Azure customer using the Skytap service can deploy an IBM i instance in seconds, connect it to an Azure data service, run experiments, delete the entire stack an hour later, and pay for the usage with existing Azure financial commitments.
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Provide guidance in developing roles and permissions to support cross-community collaboration for managing and governing assets (particularly purchased data), under the umbrella of the client’s data governance roles and responsibilities.
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We have the only complete audio ad technology stack in the industry for all forms of audio, from on demand to broadcast radio, digital streaming radio and podcasting, which bring data, targeting and attribution to all forms of audio at an unparalleled scale.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Experience with SAS/SAS EG/Python/SQL server in data analytics and manipulation. EducationBachelor's degree in Mathematics, Economics, Statistics, Computer Science, Actuarial Science, Social Science, Healthcare or related discipline or equivalent professional work experience.
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Degree in pharmacometrics, pharmacokinetics, pharmacology, pharmaceutical science, mathematics/statistics, engineering, or related field. Conduct biopharmaceutics data analyses (e.g. dissolution performance) with the objective of translating in vitro formulation performance to in vivo formulation performance in humans.
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Data Modeling, Master's degree in Computer Engineering, Computer Science, Information Systems, Relevant industry experience (for example, retail, supply chain, eCommerce, healthcare, etc.
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data science in demand jobs Title: production designer in New York
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