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