Lead Data Scientist
3 weeks ago
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.)
About you:
A curious mind with a thirst for discovery, answers, optimization, and continuous improvement
Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels
Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity
Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
Experience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment
Experience in banking or financial services is a plus
by Jobble
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