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Programming skills required: Python is a must, R, SQL, etc. What The Role Is As a part of the fundamentals & structuring team, the quant modeler will be responsible for a variety of activities from short and long-term econometric or statistical analysis of power markets and adding quantitative power to fundamental market analysis to assisting structuring and BESS modeling activities and supporting trading/optimization/hedging.
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Knowledge of analytics tools such as Python, R, SQL, Adobe Analytics, Mixpanel, or similar website performance analysis in user behavior is a plus as well as experience with marketing technology and tools (Google Analytics, AEM, SFMC, DSP, CDP, etc.
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Proficiency in tools such as Python, R, SQL, and data analysis and visualization platforms. This leader will sit on the CMO's senior leadership team and partner with key leaders across the GMI organization, such as Communications, Brand & Marketing Excellence, Product Development and Innovation, Demand Generation, and Philanthropy, to drive outcomes.
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Hands on experience using a modeling and simulation software (e.g. Python, Matlab, R, NONMEM, SAS, S-Plus, etc) is a plus. We are looking for an Omnichannel Data Scientist to apply strong expertise in artificial intelligence through the use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services.
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Proficient in one or more programming languages such as Python, Java, process automation/RPA tools such as Power Platform and its components such as Azure, Office 365, Dynamics 365, UiPath, Blue Prism, or Automation Anywhere.
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Python, R, MATLAB, Julia). Do you want to help enable and advance groundbreaking computational biology and genomics? In this position, you will be an integral member of the in Princeton University’s Department of Ecology & Evolutionary Biology and the Lewis-Sigler Institute for Integrative Genomics.
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Extensive experience working with large complex data and proficiency in corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technologies such as Hadoop.
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Knowledge of research applications used in the conduct of health services research including SAS, R, Python, SQL, Tableau plus - Strong consulting and influencing skills and proven capabilities in senior stakeholder engagement and matrix team leadership.
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Proficiency in scientific computing/programming (SAS, R or Python) and implementation of advanced statistical analysis, data manipulation, graphing & simulation. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources.
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Proficient in Python, SAS, and R. Experience with MS Office suite is required. Querying, algorithms, data engineering, natural language processing, engine recommendation, experimentation, programming, data storytelling and intelligence, predictive modeling, and machine learning.
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Programming Skills - knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Proficiency with Python or Scala programming.
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Experience with general programming and data analysis tools/languages such as Python, R, MATLAB, Spotfire, etc., is required. Knowledge of current practices and issues in pharmaceutical R&D in disciplines such as clinical pharmacology, bioanalytical, biopharmaceutics, and toxicology.
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Experience applying statistical and analytical techniques, to analyze real world data Experience with Python or R or SAS and SQL required Working knowledge of visualization tools, such as Tableau or Power BI is preferred Experience or familiarity with the biopharma industry.
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Execute intelligent automations tailored for R&D functions such as Research Informatics, SDMS (Scientific Data Management System), Lab Management Systems, Research Data products, Pathology, Imaging, Pharmacology, Development Operations, etc.
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Experience with common data science toolkits, such as Python, R, SQL. Excellence in at least one of these is desirable. The Associate Data Scientist works with the data science team to facilitate and manage clinical data collection for algorithm development, for clinical studies related to FDA submission, and for research and scientific communications purposes.
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