Bank Of America Consumer Behavior Modeler 

United States, North Carolina, Charlotte 

213671951

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Key Responsibilities:

• Develop Marketing Mix Models using appropriate statistical approaches; draw inference and conclusion based on model results
• Effectively articulate the model results to stakeholders, properly incorporate business feedback into the model
• Regularly monitor the model performance, recalibrate/redevelop the model as needed
• Document the model development process and model changes with internally required standard
• Understand nuanced communication; adjust to the tone of the room; effectively structure communication; speak clearly and effectively to multiple stakeholders including skip-level manager; manage technical aspects of projects
• Understand the structure and purpose of our work streams; learn how our business clients work; plan parts of projects and keep track of relevant details
• Independently derive the correct lessons from raw data; balance well the competing needs of the model development lifecycle
• Master the standard capabilities of Python
• Write efficient computer code using white space, comments, indentation, arrays, control blocks, and modularization
• Build datasets from complex data warehouses

:

• Artificial Intelligence/Machine Learning
• Data Mining
• Model Development
• Problem Solving
• Risk Modeling
• Analytical Thinking
• Business Acumen
• Oral Communications
• Technical Documentation
• Written Communications
• Critical Thinking
• Decision Making
• Innovative Thinking
• Presentation Skills

Required Qualifications:

• 3-7 years of modeling experience; direct experience in Marketing Mix Modeling is strongly preferred
• Advanced Python programming skills
• Proficient in modern modeling methods
• Demonstrated ability to speak and write clearly and concisely to convey complex data to a non-technical audience
• Demonstrated ability to work effectively both in a team environment and independently
• Self-motivation, self-direction, organizational skills, and the ability to manage multiple priorities without sacrificing quality or timelines
• Understand important parts of our data flows

Minimum Education Requirement:Advanced degree in statistics or related field, such as econometrics, engineering, applied mathematics, the applied sciences, or other heavily quantitative disciplinesor equivalent work experience