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MS degree (or BS degree plus 3+ years equivalent experience) in computer science, applied mathematics, (bio) statistics, applied statistics, economics, or similar quantitative fields of study.
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PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field. MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience.
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PhD or MS in Computer Science, Applied Mathematics, Physics or related quantitative field. You’ll also architect Data Science solutions that capture, process and mine huge datasets in the retail industry.
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Bachelor's degree in a quantitative field like Data Science, Statistics, Applied Mathematics or Econometrics required. Support academic success for our students through the applied use of advanced analytics, and help to identify, pilot and test initiatives for prospects, students, and faculty that drive improved academic outcomes and achievements.
$92,700 - $139,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work hours should follow a regular schedule between 7-5, M-F. Salary range: $85,000-93,000 Qualifications Required Qualifications Bachelor's degree in a quantitative field such as statistics, computer science, data science, engineering or applied mathematics with at least two years of experience, or a master's degree Experience utilizing analytical software such as SQL, R, Python, Stata, data mining, and predictive analytics.
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And data science techniques for quantitative analysis, statistical analysis, forecasting, predictive modeling, Applies professional knowledge of computer science, mathematical, statistical theories, techniques, and methods to gather, analyze, design, and construct new processes for analytical modeling, interpreting models, and/or reporting quantitative information, trends, relationships, and correlations among or within data.
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Identifies and/or develops innovative and effective approaches and methodologies; applies advanced operations research and data science techniques for quantitative analysis, statistical analysis, forecasting, predictive modeling, prescriptive analysis, and optimization; and validates analysis and outcomes.
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Bachelor's degree in a quantitative field such as econometrics, computer science, engineering or applied mathematics, or equivalent work experience. Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards.
$95,455 - $123,530 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Bachelor’s degree or equivalent work experience in Computer Science, Statistics, Technology, Engineering, Applied Mathematics or a similar quantitative analytics field. Engage with EDI team members and other business stakeholders to design, develop, and test interactive and complex data visualization solutions (i.e. reports, dashboards), which utilize the underlying data to effectively share quantitative and qualitative insights across the enterprise.
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Tableau, Power BI, or similar analytics data visualization tools. This Analyst will partner with Consumer Deposits and Marketing Business Lines leaders to understand and qualify data requirements as well as analyzing data, research projects and present analytical solutions.
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Scale positive business results through the use of big data, ML modeling, ad hoc analysis, and proactive consulting. Assemble and analyze large data sets from multiple sources. Able to generate data visualizations, like PowerBI dashboards, to track key performance indicators (KPIs.
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An advanced degree (MS or PhD) in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitative field. Define and operationalize best practices and stay current with industry trends in data science, statistical analysis, and network planning.
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