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Position: Data Scientist (Hybrid)
Location: Columbus, OH || Locals Only
Duration: 4-6 Months (CTH)
Job Description
Job Responsibilities:
Synthesize data from our analytics tools into actionable insights about customer and prospect behavior, digital sales and servicing performance, and customer value delivery. Clearly communicate these recommendations to internal stakeholders and senior leadership
Actively participate in cross-functional initiatives, collaborating with team members to achieve and measure project success. Provide opportunity analysis, measurement plans, dashboards, and post-release/testing analyses
Ability to quickly grasp complex technical concepts and make them easily understandable through various communication mediums like visualizations and presentations
Extract and analyze data using analytics tools such as Python, R, and/or SAS
Create compelling, intuitive dashboards to enable the business with critical metrics, with a focus on data automation, anomaly detection, and actionable data visualizations
Partner with Digital, Marketing, Product and IT partners to evaluate the success of new initiatives
Basic Qualifications:
Master's degree in Decision Sciences, Statistics, Applied Mathematics, Engineering, Computer Science or Information Systems, Operations Research, or a STEM degree AND a minimum of 3 years of work experience in analytics or data science. If a candidate has a PhD, no work experience is required.
In lieu of a Master's degree, a Bachelor's degree with a minimum of 5 years work experience in analytics or data science
Required Technical Skills:
Experience with programming languages R or Python
Business intelligence and data mining tools Tableau and Tableau Server
Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop
Preferred Qualifications:
Developing and applying statistical or machine learning methods in a corporate environment through applications such as R, Python, or SAS
Extensive experience with programming languages R or Python
Programming languages Java or C++ in a data mining context
Building web-based applications using HTML, CSS, Perl, and JavaScript
Experience with web analytics tools and implementation - A e Analytics (formerly Omniture SiteCatalyst), Google Analytics, IBM Digital Analytics (formerly Coremetrics), Webtrends
A/B testing tools (Optimizely, A e Target, etc.) and effective test design (establishing sample sizes, statistical significance measurement, etc.)
Experience in banking or financial services is a plus
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