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Senior Data Scientist

Senior Data Scientist
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Job Description


For Those Who Work At Home - Various, Virginia 23455

KeyBank is one of the 25 largest banks in the country and leverages cutting- edge technology and data-driven strategies to develop innovative solutions for our clients. Advanced analytics and technological capabilities are critically important to KeyBank’s core business practices, as it impacts the daily operations of the bank and customer experience.

The Data Science and Machine Learning team sits within the Data & Decisions organization that reports directly to the CFO and is a centralized data science and machine learning organization supporting business revenue generation activities and operational efficiency across the bank. The team is composed of talented data scientists, machine learning engineers and data engineers. Our senior data scientists work directly with each line of business and other functional teams to solve complex and unique business problems by building state-of-the-art data science and machine learning solutions to support business growth and improve customer experience.

The team is looking for a Senior Data Scientist to design, develop and implement advanced analytics and modeling solutions with a primary focus on credit decisioning. This role covers all key aspects of model development and analytics, i.e., data identification and gathering, methodology/technique selection, performance assessment, documentation, and ongoing monitoring. The ideal candidate should be able to work effectively with internal clients to understand their business needs, dissect complex problems, propose appropriate quantitative solutions, and develop data-driven products. The person should also be able to work cross-functionally to have the solutions implemented and provide thought leadership in different forums.


  • Apply critical thinking skills and perform a broad range of quantitative analyses, including model development and ad hoc analytics
  • Research, compile and evaluate large sets of data to assess quality and determine suitability for model building; proactively seek, build and consolidate new data inputs to improve model performance
  • Build and deploy prototype solutions to demonstrate ideas and prove concepts
  • Develop/manage internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance and monitoring
  • Document model development process and outcomes properly and support model validation and review to ensure models are in compliance with internal and external policies and regulations
  • Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency
  • Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations
  • Proactively develop and build technical skills and business knowledge
  • Effectively collaborate with compliance, technology, and risk partners
  • Develop presentations to summarize and communicate key messages to senior management sponsors and other stakeholders
  • Mentor junior team members when needed
  • Provide thought leadership in different forums and keep up with industry trends


  • Intellectual curiosity, inquisitive nature and desire to deepen knowledge
  • Solid quantitative and programming background with Master’s degree in statistics, mathematics, economics, computer science, engineering, data sciences, predictive modeling, or other quantitative disciplines
  • 5+ years of hands-on experience developing models using large data sets, preferably in scorecard and credit risk management model development
  • Excellent quantitative, analytical and problem-solving skills and solid knowledge of statistical analysis (regression, decision trees, clustering, scorecard modeling etc.) as well as machine learning algorithms to solve real world problems
  • Significant experience working with large scale structured and unstructured data
  • Solid understanding of credit bureau data
  • Hands-on work experience with statistical coding in Python, SAS, and or SQL
  • Strong written and oral communication skills, ability to translate technical observations to a non-technical audience
  • Knowledge of model risk requirements and processes, technology, and data analysis best practices
  • Good project management skills (clear goal setting, well-organized, detailed planning and prioritization, and ability to meet tight timeline deliverables)
  • Can work both independently and collaboratively


  • Financial services industry experience preferred
  • Knowledge of and experience with cloud-based computing
  • Experience with creating credit decisioning models using open-source packages and AI/ML approaches
  • Experience with scorecard modeling tools


This position is eligible to earn a base salary in the range of $130,000 to $165,000 annually depending on job-related factors such as level of experience. Compensation for this role also includes eligibility for short- term incentive compensation and deferred incentive compensation subject to individual and company performance. Please click here for a list of benefits for which this position is eligible.

Please click here for a list of benefits for which this position is eligible.

Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment. As a result, this role may be Mobile or Home-based, which means you may work primarily either at a home office or in a Key facility to perform your job duties.

KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing


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