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Engineering, Data science or another quantitative field (i.e. mathematics, statistics, economics, etc.) Bachelor's degree preferably in Engineering, Data Science (Mathematics, Statistics or Economics.
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Google Data Analytics Professional Certificate, Power BI Data Analyst Associate, AWS Certified Data Analytics, Enterprise Data Warehouse certifications, Palantir, Client Side performance metrics tools e.g. Quantum Metrics.
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Qualifications: Bachelor’s degree in Data Science, Statistics, HR, Business Administration, or a related field. 3-5 years of experience in data analysis, preferably in an HR or people analytics role Proficiency in data analysis tools and software (e.g., Visier, Excel, SQL, Tableau, Power BI.
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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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Job Description As a Data Science Analyst Intern in our Data & Analytics organization, you will have the opportunity to combine your technical skills and understanding of the business context to collaboratively develop end-to-end solutions with commercial, real-world impact on our clients and customers.
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If your background is in Computer Science and Engineering, Data Analytics, Statistics, Biostatistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems, learn more about CRA.
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For data Science/Machine learning. Presently, we are actively looking for entry-level Data Analyst with a driven mindset. Knowledge of Statistics, Python, data visualization tools.
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AbbVie Data Science is the best-in-class team within its cross-industry peer group and is responsible for bringing people, process, and technology together to generate business value from clinical trials data.
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Degree: Bachelor's degree (or higher degree) in Mathematics, statistics, computer science, data science or field directly related to the position. Education: Master's or equivalent graduate degree or 2 full years of progressively higher-level graduate education leading to such a degree in a field which demonstrates the knowledge, skills, and abilities necessary to do the work of the position, such as: such as Operations Research Analyst, Mathematician, Mathematics Statistician, Statistician, Computer Science or Date Science.
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Education/experience: Bachelor's degree in Mathematics, Computer Science, Engineering or a related fieldEducation/ experience with data engineering, quantitative analysis, or data science.
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QualificationsRequired Bachelor's degree preferably in Engineering, Data Science (Mathematics, Statistics or Economics) Engineering, Data science or another quantitative field (i.e. mathematics, statistics, economics, etc.
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Our client is looking to add a Data Analyst to work with their data science and marketing teams to analyze various data points across the organization to provide recommendations for improving performance in this specific line of business.
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Have six to eight years of experience in Data Science, Artificial Intelligence, and other related advanced analytics implementations for financial systems. Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.
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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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Bachelor's Degree preferred (Data Science, Statistics, Actuarial Science, Mathematics, or other related fields) Actuarial Data Analyst. Conduct deep dive into internal and 3rd party data feeds and create tools to ensure data quality and accuracy.
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data science jobs Title: data analyst in Chicago, Ada-county, Idaho
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