| Urgent Opening for Data Scientist (Columbus, OH) at Columbus, Ohio, USA |
| Email: [email protected] |
| Hi Team, We are having Urgent Opening for Data Scientist ( Columbus, OH ) NEED LOCAL Position: Data Scientist Client: Huntington Bank Location: Columbus, OH( Need Local) Hybrid from Day 1 Location: 7 Easton Oval Columbus Ohio 43219 NEED ONLY H1B, H4-EAD, GC, GC EAD, USC Job Description TECHNICAL SKILLS Must Have SQL Tableau Tableau Server Nice To Have Amazon SageMaker AWS Python R Snowflake Job Description: This individual will participate in all phases of the data and analytics lifecycle, including specifying data capture requirements, analyzing patterns and trends in structured and unstructured data to provide insights on projects that span all facets of the Enterprise. Take these finding and synthesize them into dashboards or presentations that convey insights and recommendations through storytelling, while maintaining a balance between the big picture and mastery of details. You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics COE. Team members are skilled data scientists highly fluent in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics. Members of the team primarily support the Digital and Omnichannel organizations, but is strategically positioned to partner with and support nearly every part of the company including; Product, Marketing, Consumer Sales and Operations, Business and Commercial Banks, Private Client Group, and IT. We align to our partners within the Agile development framework and support projects throughout their entire lifecycle from ideation through delivery on the largest and most visible projects undertaken at the company. This highly visible and critical role will sit in a fast-paced environment with the ability to influence not just any single project but the overall direction of the organization. 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 Collaborate with Fraud and Risk partners to identify and mitigate threats to Huntington assets Apply visualization techniques to internal and external data sources to make accurate and actionable analyses in a timely fashion Be a partner in the building of KPIs and metrics that help to gauge the health and success of our digital and Omni assets and initiatives Create self-service dashboards for internal business partners to learn, understand, have access to, and derive insights from data, metrics, and KPIs Apply automation techniques to manual processes to create efficiency, improve accuracy, and build upon successes that create a suite of self-service assets Basic Qualifications: Master's degree in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree or in lieu of a master's degree, bachelor's degree with a minimum of 3 years work experience in analytics or data science Required Technical Skills: 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 - Adobe Analytics (formerly Omniture SiteCatalyst), Google Analytics, IBM Digital Analytics (formerly Coremetrics), Webtrends A/B testing tools (Optimizely, Adobe Target, etc.) and effective test design (establishing sample sizes, statistical significance measurement, etc.) Ruchi Verma Sr. US IT Recruiter 6148811414/ Email: [email protected] | www.Sharkanalytics.com -- Keywords: cplusplus rlang information technology green card Ohio Urgent Opening for Data Scientist (Columbus, OH) [email protected] |
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| Fri Apr 12 21:25:00 UTC 2024 |