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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) in order to construct a robust, accurate, 360-view data environment that is unique to each client Demonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, Python Employing techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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You can effectively connect the dots between data science, design and insights to orchestrate strong recommendations that improve customer experiences, find efficiencies across shared products and common service moments, and unlock higher order value across the enterprise.
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This person will also need to build, manage, and maintain MEP monitoring tools utilizing Vertiv Sitescan and/or APC Data Center Expert/IT Advisor for performance, availability, reliability and security of IT resources.
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As a Data Scientist Director in the ISDA team, you will have the opportunity to work on exciting end-to-end machine learning problems and solutions. Intelligent Systems, Data and Analytics (ISDA) in Corporate Technology (CT) is a centralized global team responsible for leveraging Artificial Intelligence and Machine Learning to maximize the business value of the data consumed and produced by CT and our Corporate Function Partners.
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Strong programming skills that include experience with Tableau, Python, R, Teradata, SAS/ SQL and related analytical experience. Investigate industry data to check loan performance through data analysis, data mapping and data migration.
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Deep understanding of consumer behavioral science including physiology and psychology research to gather and analyze data related to consumer behavior, cognition, and emotional responses.
$122,300 - $242,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We leverage leading technology stacks like Microsoft Azure, AWS, Google Cloud, Microsoft Power BI, Anaplan, Qlik, Tableau, SAS, Cloudera, Redhat and many others - to match your business goals with optimum technology solutions for all your stakeholders.
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Advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and 6 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research.
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Experience with: Open source and commercial research related software, Python, R, Matlab, Mathworks, Julia, Ansys, Intel, nVidia cuda and GCC compilers. Solid understanding of data center operations fundamentals in networking and power Extensive Linux administration and networking skills are highly required.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
$110,500 - $138,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Masters degree in social work, counseling, or related field and registered as an associate clinician to practice in their state under supervision of a licensed clinician (ACSW, R-MHC(I), AMFT, or equivalent.
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Skilled in documentation and database reporting for the purposes of analysis, data discovery, and decision-making with the use of relevant software such as Crystal Reports, Excel, or SSRS.Ability to transform business processes using BPA, RPA, or other technology-enabled automation.
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Bachelor's degree in Planning, Landscape Architecture, Urban Design, Engineering, Geology, Biology, Environmental Science, Anthropology, Archaeology, or related field and 8 years relevant experience.
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Preferably 5 days onsite in Plano TX, but can be open to hybrid Required Skills : PySpark ML, AWS, Databricks, TensorFlow or Pytorch Job Summary: We are seeking a highly skilled ML Engineer with 9 to 12 years of experience in Machine Learning, AWS, Spark, Data Science, and PySpark ML. The ideal candidate will drive digital transformation and data engineering initiatives, ensuring robust and scalable solutions that align with our company's strategic goals.
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data science sas r jobs Company: Cigna in Plano, TX
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