Data Science Manager

at  Wells Fargo

WHY WELLS FARGO:

This is where your true career begins. We ranked #2 on the 2023 LinkedIn Top Companies list - and #1 among financial services companies - as the best workplace “to grow your career” in the U.S. At Wells Fargo, we support employees’ career aspirations and growth. We’re proud of our employee-welfare-centered business approach and our commitment to diversity, equity, and inclusion in the workplace.
We offer competitive salaries and one of the richest benefits packages in the industry. Our Total Rewards program focuses on wellness, work-life balance and the financial health of our employees. Our customers invest with us, we invest in you. Apply today.

APPLICANTS WITH DISABILITIES

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

Required Qualifications:

• 4+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• 2+ years of leadership experience
• Master’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer scienc

Desired Qualifications:

• Experience with SAS, Teradata, Python, PySpark, SQL, and Machine Learning (ML) and Natural Language Processing (NLP) & Large Language Model (LLM) experience.
• Leads or assists on end-to-end model build efforts from discovery to deployment.
• Communicates project progress and obstacles to senior leadership.
• Excellent communication skills and ability to articulate complex material to a diverse audience

Wells Fargo is seeking a Data Science Manager within the Enterprise Complaints Remediations, (ECR) organization. The Data Science Manager is responsible for managing a team responsible for full-cycle of data analytics including identifying issues and opportunities, mining and analyzing data, building ad-hoc or preliminary use models and algorithms to determine data patterns or trends, and delivering meaningful insights, recommendations, and hypothesis generation.

In this role, you will:

• Manage and develop a team of individual contributor roles conducting a range of analytical and predictive modeling for data science initiatives with low to moderate complexity and risk that drive and influence objectives and products and improve business performance.
• Engage stakeholders and internal partners associated with the data-driven insights, patterns, and recommendations made by the data science team.
• Identify and recommend opportunities to leverage data science with a focus on actionable insights; lead hypothesis generation around low to moderate critical business problems.
• Make decisions and resolve issues regarding resources, objectives, and operations of the data science team to meet business objectives; interpret and develop policies and procedures for functions with low to moderate complexity within scope of responsibility.
• Collaborate with and consult with peers, colleagues, and multiple level managers.
• Implement strategies for developing and utilizing advanced analytic data science resources to recommend business solutions and initiatives.
• Provide thought leadership to the team on data science best practices, methods, and tools used to maximize output.
• Communicate actionable insights and recommendations using data provided by the team in a digestible format to a non-technical audience of varying levels.
• Manage allocation of people and financial resources for aligned department or business group
• Mentor and guide talent development of direct reports and assist in hiring talent.

Required Qualifications:

• 4+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• 2+ years of leadership experience
• Master’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• Experience with SAS, Teradata, Python, PySpark, SQL, and Machine Learning (ML) and Natural Language Processing (NLP) & Large Language Model (LLM) experience.
• Leads or assists on end-to-end model build efforts from discovery to deployment.
• Communicates project progress and obstacles to senior leadership.
• Excellent communication skills and ability to articulate complex material to a diverse audience.

Job Expectations:

• Ability to travel up to 10% of the time.
• This position is not eligible for Visa sponsorship.
• Ability to work on site per Wells Fargo’s standard operating model in one of the listed locations.

Posting Locations: