Consumer Behavior Modeler

Utah State Extension; Charlotte (NC); On-site; USD 123,000 - 196,000; Full time

Job summary

A leading company seeks a Marketing Mix Modeling specialist responsible for project management and effective communication. This role involves developing models, analyzing data, and collaborating with stakeholders to influence business decisions. Ideal candidates will have expertise in Python and a strong analytical mindset, coupled with advanced degrees in quantitative fields.

Benefits

Annual discretionary incentive

Paid time off

Industry-leading benefits

Qualifications

• 3-7 years of modeling experience; direct experience in Marketing Mix Modeling is strongly preferred.
• Advanced Python programming skills required.
• Proficient in modern modeling methods.

Responsibilities

• Develop Marketing Mix Models using appropriate statistical approaches.
• Articulate model results to stakeholders and incorporate feedback.
• Monitor model performance and recalibrate as needed.

Skills

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

Education

Advanced degree in statistics or related field

Tools

Python

Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description :

Responsible for creating technical plans from requirements expressed in a non-technical language and delivering significant components of large projects or full smaller projects. Effectively structures communication and communicates with influence and nuance outside of immediate team. Often manages planning, technical, team, and relationship needs of projects. Creates approaches to solving business problems and is very familiar with the business components that guide problem selection. Is a team expert in some relevant class of models and runs models through their entire lifecycle.

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

Skills :

• 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 disciplines or equivalent work experience

For internal employees; participation in a work from home posture does not make you ineligible to post

Shift:
1st shift (United States of America)

Hours Per Week:
40

Pay Transparency details

US - NY - New York - 114 W 47TH ST (NY8114)

Pay and benefits information

Pay range

$123,000.00 - $195,400.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.