Data Scientist (remote)

Location:

For Those Who Work At Home - Various, Ohio 44145

JOB BRIEF

The Decision Sciences team sits within Enterprise Analytics Organization to support the advanced analytics and modeling needs for sales, marketing, finance, digital, financial wellness, and operation of Key Bank. The current focus is retail bank. Our quantitative analysts/data scientists work directly with business, functional and other analytics teams to solve complex and unique business problems by building state-of-the-art analytics, models, and tools to support business growth and improve customer experience.

Under some supervision, the Lead Quantitative Analytics Associate/data scientist will be primarily responsible for the following:

• the development, validation, documentation, and measurement of complex and high-impact advanced analytics and model usage strategy to uncover business growth opportunities
• working with senior data scientists, engineers as well as model risk and governance team to manage model inventory, monitor model performance, perform analysis and reporting to help the team manage model risk
• When capacity allows, work with senior data scientists to develop statistical or machine learning models to solve various business problems

This requires the associate to have working knowledge of statistical, mathematical and machine learning techniques as well as proficiency in programming using SAS and open-source languages. The ideal candidate should be able to work effectively with internal clients and functional teams to define requirements, propose appropriate quantitative solutions, execute analyses, and deliver results and communications.

Essential Job Functions

• Apply critical thinking skills and perform advanced analytics with goal of solving complex and multi-faceted business problems
• Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to support client centric initiatives at various stages of customer lifecycle including acquisition, activation, utilization, relationship deepening and retention
• Manage model inventory and model use cases; perform model validation, model risk monitoring, reporting and diagnostic analyses to ensure they are following Model Governance Policy, Guidelines and OCC requirements
• Proactively seek, build and consolidate new data inputs to help identify new business insights
• Work with senior data scientists to develop new models
• Develop presentations to summarize and communicate key messages to senior management sponsors and other stakeholders

Required Qualifications

• Solid quantitative/programming background with a graduate degree (Phd or Master) in quantitative fields such as Statistics, Engineering, Mathematics, Economics, Finance, Computer Science, or Operations Research
• 2+ years for Master’s Degree or 0+ years for Phd Degree with hands-on experience developing and applying statistical/predictive methods using large data sets
• Excellent quantitative, analytical, and problem-solving skills.
• Experience working with large scale structured and unstructured data
• Intellectual curiosity, inquisitive nature, and desire to deepen knowledge
• Working knowledge of SAS, Python, R, SQL/BigSQL
• Effective communication and presentation skills

Preferred Qualifications

• Knowledge of Spark, PySpark, SparkSQL, MLlib a plus
• Experience with cloud environment a plus
• Experience with machine learning, deep learning, NLP a plus
• Retail and Financial services industry experience a plus
• Able to translate ambiguous business problems into a conceptual mathematical framework
• Can work both independently and collaboratively

Compensation And Benefits

This position is eligible to earn a base salary in the range of $70,000 to $110,000 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.

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 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 [email protected].