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About this role:
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:

• CHARLOTTE, NC
• MINNEAPOLIS, MN
• WEST DES MOINES, IA
• PHOENIX/CHANDLER/TEMPE, AZ
• IRVING, TX
• ST. LOUIS, MO
• SALT LAKE CITY, UT
• SAN ANTONIO, TX

The Chief Operating Office Functions adhere to a location strategy; therefore, your candidacy may be determined based on your current location. Remote work locations are not available for these roles, so if you are not in a location listed on the posting, you must commit to relocation within an agreed upon timeframe.
Posting End Date:
17 Jun 2024
*Job posting may come down early due to volume of applicants.
We Value Diversity
At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.
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 US: 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.
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.
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To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
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