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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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Data Science: Experience managing or applying more sophisticated advanced analytics/statistics using code. As a Manager on OMD’s Marketing Science team, you will develop actionable insights through quantitative analysis, innovative thinking, and your industry knowledge to be a key contributor towards tactical and strategic efforts.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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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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Key skills you’ll bring to JumpCloud include:Master’s degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, related field, or equivalent practical experience.
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Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming analysis and modeling.
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BS or MS degree in Health Informatics, Data Engineering, Computer Science, Information Technology or equivalent. This position supports the flow of high quality and large quantity data into Commercial Analytics data science models, solutions, and analytics.
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5 years of experience in data analysis or related fields such as Data Scientist, Computational Biologist, or bioinformatics. MS/PhD in Electrical Engineering, Statistics, Bioinformatics, Computational Biology, Computer science, Mathematics, or equivalent practical experience.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Graduate degree, training, or work experience in some relevant combination of the following: STEM, science journalism, science communications, informal science education, science outreach, science museum/center, theater, edutainment, performance, TV, video/film – accumulating to 5-7 years of experience related to the DCE position.
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Education & ExperienceBachelor’s Degree in Computer Science, Engineering, Mathematics, Computational Statistics, Data Science or related technical field or equivalent; Master’s Degree preferred.
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Marketing Science teams manage data processing (primarily in SQL, R scripting, and Excel), data exploration and the statistical analysis of media data. Marketing Science team members handle client’s requests, work closely with internal cross-agency teams to support their needs, collect data from clients, clean and organize that data, and create statistical models, and build presentations highlighting key results, recommendations, and takeaways.
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Qualifications Advanced Degree in computer science or electrical engineering 4+ years hands-on data engineering software Must have development expertise using Scala and Spark. Role: A Senior Data Engineer will use his or her hands-on expertise in Spark/Hadoop, Scala programming, Linux scripting, AWS, DevOps and API technologies to expand and optimize architecture, data flows, infrastructure, APIs and data pipelines to support the Epsilon PeopleCloud Discovery Platform.
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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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Design and implement scalable and reliable data pipelines within AWS cloud environments, leveraging technologies such as Snowflake, SQL Server, Oracle, Python, Apache Airflow, SSIS, DataStage, or Informatica.
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data science jobs Title: manager Company: Quora in Chicago, IL
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