Remote, Remote
April 4, 2022
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Location:
For Those Who Work At Home - Various, Ohio 44145 ABOUT THE JOB
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 operations of Key Bank’s 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 models and tools to support business growth and improve customer experience.
Under some supervision, the Senior Data Scientist is primarily responsible for the development, validation, documentation, and measurement of complex and high-impact statistical and machine learning models, leveraging cutting edge quantitative and computational techniques and technologies. This requires the associate to have in-depth knowledge of advanced statistical, mathematical and machine learning techniques as well as proficiency in programming using open-source languages. The ideal candidate should be able to work effectively with internal clients to better understand their business needs, dissect complex problems, propose appropriate quantitative solutions, analyze the needs and behaviors of present and prospective customers, and develop data-driven solutions to improve customer experience and achieve business objectives.
ESSENTIAL JOB FUNCTIONS
- Apply critical thinking skills and perform advanced analytics with goal of solving complex and multi-faceted business problems
- Translate business partner’s needs into advanced analytics projects and prioritize projects based on expected tactical and/or strategic business impact to quickly achieve goals
- Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations
- Perform advanced quantitative and statistical analysis and machine learning 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
- Know what type of algorithm to use and how to implement them
- Build prototype solutions to demonstrate ideas and prove concepts
- Proactively seek, build and consolidate new data inputs to improve model performance
- Perform model validation and documentation of newly developed predictive models to ensure they are following Model Governance Policy, Guidelines and OCC requirements
- Conduct annual model validations to ensure models are working as intended and the existing validation activities are sufficient
- 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 with hands-on experience developing and applying statistical/predictive methods using large data sets
- Hands on experience with Machine Learning and Artificial Intelligence
- Excellent quantitative, analytical and problem-solving skills. Solid Knowledge of statistical analysis (regression, decision trees, clustering, experimental design etc.) as well as machine learning algorithms to solve real world problems
- Experience working with large scale structured and unstructured data
- Intellectual curiosity, inquisitive nature, and desire to deepen knowledge
- Working knowledge of 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
- 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
HR_Compliance@keybank.com
. 
