Lead Data Science Consultant - Campaign Analytics

141753-NC-Three Wells Fargo Center, Charlotte, United States

Wells Fargo

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About this role:

Wells Fargo is seeking a talented Lead Data Science Consultant to join our growing Marketing Analytics team as part of Consumer & Small Business Banking (CSBB).

In this role you will partner with stakeholders and play a pivotal role as a data science consultant for various marketing campaigns aimed at maximizing financial returns, assessing key marketing levers for future optimization, and developing solid actionable inflight reporting for continuous refinement of our marketing campaigns. Additionally, you will be responsible for developing and implementing marketing strategies that drive growth and engagement, while continuously improving campaign performance and efficiency.

Learn more about the career areas and lines of business at wellsfargojobs.com.

In this role, you will:

  • Measure and quantify the success of CSBB Marketing campaigns while inflight and via post campaign deep dives

  • Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels

  • Execute complex analytical experiments and create innovative statistical technics to discover solutions for abstract business problems across various domains

  • Make decisions in complex and multi-faceted situations requiring an expertise in analytical thinking to resolve abstract business issues that influence and lead broader work team to meet deliverables and drive new initiatives

  • Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to drive recommendations and strategies based on data driven, analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams or serve as a peer mentor

  • Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements

  • Interpret and analyze data, using advanced analytics methods and programming, to recommend ways to solve problems and influence business decisions and strategies

  • Provide consultation to peers on data science best practices, methods, and tools to leverage

Required Qualifications:  

  • 5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

  • 2+ years of previous marketing campaign analytics experience

  • Strong analytical skills, with experience using data and insights to inform marketing decisions

  • Proficiency in SQL, Python / R, and other programming languages

  • Proficiency in Data visualization preferably with Tableau

  • Experience with large production data sets

  • Strong project management skills, with the ability to manage multiple projects simultaneously and meet tight deadlines

  • Expertise in statistical testing and forecasting

  • Excellent communication and interpersonal skills, with the ability to build strong relationships with cross-functional teams

  • Experience with technical systems and business processes extracting data driven insights while identifying opportunities for engineering enhancements

  • Hands-on experience of Extract, Transform and Load (ETL) and data warehousing for purposes of integrating different data sources

Job Expectations:

  • Ability to travel up to 10% of the time

  • This position offers a hybrid work schedule

This position is not eligible for Visa sponsorship.

Posting Location(s):                                                    

  • 401 S Tryon St. – Charlotte, North Carolina 28202

Required locations listed.  

Posting End Date: 

4 Jul 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Banking Computer Science Data visualization Data Warehousing Economics Engineering ETL Mathematics Physics Python R SQL Statistics Tableau Testing Travel

Region: North America
Country: United States

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