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Expert knowledge and skills in statistical programming (SAS, SQL, Python, R). Education Doctorate or Masters’ degree in econometrics, statistics, data analytics, computer science or other STEM fields (e.g., physics, math, engineering, etc.
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Requires two (2) years of experience in each of the following: Analyzing large data sets from multiple data sources; REST, SOAP, and Web Service APIs; JIRA, Rally, or Confluence; Agile methodologies and SAFe Software Development Principles; Software Development Lifecycle (SDLC); Programming in Java, Python, or R; SAS or SQL programming languages; and Databases: Oracle, Teradata, or DB2.
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Complete understanding and demonstrated experience in Python, R/SAS, SQL, Visualization tools like Power BI/Tableau, and various modeling techniques. Provide technical direction to project team members across data modeling, data manipulation, visualization, predictive modeling, Reporting, and Automation projects across the Insurance Value Chain.
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Working knowledge of statistical packages such as SAS/JMP, R, Stata, GIS or similar; working experience in data management using Python, SQL, M, Dax, or other relevant software packages; and experience working with software developers, software vendors and statistical analysis groups.
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Excellent knowledge of statistical programming in SAS including Base, Macro, STAT, GRAPH, SQL. Solid understanding of FDA, EMA, ICH and global regulations and industry standards applicable to clinical study data and reporting on clinical trials, including CDISC standards.
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Experience leading end-to-end data science project implementation. Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent) The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
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Excellent coding skills in Python, SQL, and Bigdata technologies. Title: Senior Data Scientist. Piping and processing massive data-streams in distributed computing environments (e.
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Experience working in a Healthcare organization or with healthcare data preferred. Lead and mentor Data Scientists. Masters degree in related field and 3+ years experience in predictive analytics or equivalent field.
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Determines the continuous improvement opportunities of current predictive modeling algorithms. Design and lead predictive modeling projects to address more complex business problems determined by consultation with business partners.
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Recommends appropriate batch and real-time model scoring to drive actions. Publish results and address constraints/limitations with business partners. Develop advanced visualization of analysis output for business users.
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Senior Data Scientist. Senior Data Scientist. g Hadoop) to facilitate analysis. Experience managing a small team either through formal or informal reporting relationship. Provides actionable insights to output produced to ensure established targets are met.
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Data Science tools like Knime, Dataiku, AWS SageMaker, statistical languages, and packages, e.g., R, Python, Julia, SAS, data visualization tools and techniques, e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik, data manipulation tools such as SQL, Spark, PySpark and Hive, cloud environments like Azure and AWS, deep learning tools such as Tensorflow, Keras and PyTorch.
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Provides oversight in development of proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost, and other variables.
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Experience with developing recommendation engines is preferred. Type/ Duration: Contract (12 month+) Location: Remote (EST) Industry : Healthcare.
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