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A leading company is looking for a Senior Data Scientist to join their dynamic team in Columbus, OH. This role combines advanced analytics and strategic insights, providing support across various departments. Candidates should have a strong background in data science, proficient in R, Python, and SQL, and a passion for driving data-driven decisions.
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Job Title: Data Scientist: III (Senior)
3 days onsite, 2 days remote)
Type: Contract to hire
The Team:
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.
Location: Columbus, OH
Salary: Negotiable
Description:
Job Title: Data Scientist: III (Senior)
Location: Columbus, OH (3 days onsite, 2 days remote)
Type: Contract to hire
The Team:
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 client 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 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 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 - Adobe Analytics (formerly Omniture Site Catalyst), Google Analytics, IBM Digital Analytics (formerly Core metrics), Web trends
A/B testing tools (Optimizely, Adobe Target, etc.) and effective test design (establishing sample sizes, statistical significance measurement, etc.)
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