Data Scientist

Data Scientist
Newark, OH (3 days onsite, two days remote. Onsite Monday-Wednesday, remote Thursday and Friday)
3-month contract-to-hire

RESPONSIBILITIES
Work Arrangement: 3 days a week on-site in Newark, Ohio & 2 days remote

• Collect data by analyzing business results or establishing and monitoring new studies


• Transfers data into a format more appropriate for analysis


• Build tools to automate data collection


• Examine large data sets for usable information


• Apply statistical modeling, machine learning, and visualization techniques to internal and external data to make accurate and actionable analyses in a timely fashion.


• Maintain the framework for managing data and authoritative geographical records and support analytical capabilities and decision making through data relationships, patterns and trends concepts.


• Support customer segmentation, customer attrition modeling, Natural Language Processing, Product Recommendation and Branch Optimization.


• Create reports and presentations for business use at varying management levels.


• Develop, plan, and manage multiple priorities in response to business needs, and set appropriate and attainable team goals.


• Maintain awareness of and adherence to Bank's compliance requirements and risk management concepts, expectations, policies and procedures and apply them to daily tasks


• Deliver a consistent, high level of service within our Serving More standards


• Other duties as assigned

COMPETENCIES
Interpersonal/Customer Service Skills
Written and Verbal Communication
Ability to understand and follow directions
Adaptable to change
Basic Computer Skills
Organizational Skills/Detail Oriented
Analytical Thinking
Able to Multi-Task or Juggle Priorities
Problem/Situation Analysis
Strategic Planning and Decision Making
Creativity
Ability to work as part of a team
Ability to influence others
Ability to collaborate
Ability to apply GIS techniques in a business environment

EDUCATION - CERTIFICATIONS - WORK EXPERIENCE
High School Diploma or equivalent required
Bachelor's degree in data science, Economics, or related field (applied quantitative or computationally-orientated) required
Financial Institution Experience required.
Deep knowledge of statistical and ML models
Data Analysis and ML: Python or other scripting language
Advanced experience with Microsoft Word, Excel, and PowerPoint

Preferred, but not a deal breaker

• Master's degree in data science, Statistics, Economics, Applied Mathematics, or related field


• Financial services or related regulatory industry


• Experience in geodatabase management, GIS Portal management, and web-map creation


• Basic experience with ESRI ArcMap or ArcPro


• ModelBuilder in ArcGIS


• Tableau