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Proficiency in survey methodology, statistical analysis, and data visualization techniques, with expertise in software tools such as SPSS, SAS, R, or STATA. Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including Machine learning AI, Mobile Optimized Surveys, Gamification, Behavioral economics, real-time feedback, Multimodal surveys, Blockchain technology, Virtual and Augmented reality.
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Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including machine learning AI, mobile optimization, gamification, behavioral economics, and virtual/augmented reality.
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The primary role of the Medical Science Liaison (MSL) is to engage in meaningful peer-to-peer scientific dialogue with healthcare system leaders such as Regional Thought Leaders (RTLs), National Thought Leaders, and Healthcare Professional (HCPs) within a defined geography to translate science into patient care.
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2+ years of machine learning, data science, and/or statistical modeling experience, with significant contributions that you can talk to. Data: PostgreSQL, Firestore, BigQuery, Elastic Search, Prefect, Kafka, Scala, Spark, dbt.
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Assist in field data collection, management, and analysis to support environmental assessment and impact studies, hydrodynamic modeling, habitat restoration, and other similar projects. Bachelor's degree in Biology, Environmental Science, Fisheries, Ecology, Natural Resources, Environmental Planning, or a related field.
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You will be a successful applicant if you have a technical degree such as Chemistry, Chemical Engineering, Biology, Mechanical Engineering, Microbiology, Environmental Science, Paper Science, or Water Resources.
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Details Kemper is seeking a SAS Administrator/Engineer for our Data Science Services team. Maintain user provisioning in SAS Management ConsoleCollaborate with the network, security, and server administration teams to implement Kemper data and security standards, including but not limited to firewall rules modification, server whitelisting, data masking, and row level security.
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Advanced degree (or equivalent) in Financial Engineering / Quantitative Finance, Math, Statistics, Data Science, Engineering, Economics, or other relevant program. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities.
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6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations or HR/People Analytics, Modeling or related. The ideal candidate will possess a strong background in data science, human resources, and strategic business partnering.
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Previous experience with electrical stimulation techniques and analyzing physiological sensor-based data (such as from EMG, ECG, accelerometers, or gyroscopes) is strongly preferred. Doctoral degree (PhD) and relevant research experience in biomedical engineering, neuroscience, rehabilitation science, or a related field.
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Our team brings together experts in data science, electronics, and healthcare and has partnered with leading healthcare and academic institutions to introduce the next generation of patient waveform monitoring and analytics solutions.
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Proficiency in utilizing PIM systems and related technologies, such as master data management (MDM), data integration, and data transformation. Data in the PIM system will be distributed to B2B/B2C e-commerce applications as well as the backend ERP system.
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4+ years’ experience in marketing science, advertising analytics, data operations, business intelligence and/or campaign insights. BS/BA or MS in Business, Marketing, Statistics, Mathematics, Data Science, Information Systems, Computer Science, Engineering, or relevant field.
$70,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Assist with testing and data validation activities involving PwC, DSC, RJW, Celigo, and Orderful. Proven ability to manage testing and data validation processes with multiple stakeholders, including PwC, DSC, RJW, Celigo, and Orderful.
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Preferred majors include, but are not limited to; Business Administration, Business Management, Information Technology, Computer Science, Data Science, Data Analytics, Business Analytics, Statistics, Healthcare Administration, Public Health, Health Informatics, Industrial/Organizational Psychology, Organizational Development, and Human Resources Management.
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data science jobs Title: data Company: Springboard in Chicago, IL
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