Lead Data Science Consultant - HR People Analytics na Wf
Wf · Minneapolis, Estados Unidos Da América · Hybrid
- Senior
- Escritório em Minneapolis
About this role:
We are seeking a Lead Data Science Consultant to join our People Analytics Data Science team within Wells Fargo’s Human Resources Transformation & Product organization.
This is an exciting opportunity to leverage advanced AI-powered capabilities to guide HR business decisions and talent strategies, maximizing our investment in our most valuable asset — our people. This role will lead innovation and transformation across the HR ecosystem by harnessing modern AI technologies, including predictive, generative, and agentic AI frameworks.
You will partner with HR stakeholders to design and deliver AI-driven solutions that enhance employee experience and optimize HR processes through intelligent automation and predictive insights. Our team thrives on applying science and analytics to bring structure and clarity to complex people challenges, positioning talent as a key source of competitive advantage.
Join us and help shape the future of our first-class HR organization w ith cutting edge data science at Wells Fargo.
In this role, you will:
- Lead the design, development, and deployment of AI/ML solutions for HR initiatives such as workforce planning, employee listening, and service channel optimization.
- Develop and operationalize advanced models leveraging Generative AI, LLMs, and cloud-based frameworks including Microsoft Fabric, Azure OpenAI, and GCP Vertex AI.
- Deliver robust solutions across quantitative and qualitative dimensions, applying predictive modeling, NLP, and text analytics to unlock actionable insights.
- Architect and optimize enterprise-scale data infrastructure and ML pipelines using Lakehouse platforms, distributed computing, and modern analytics tools.
- Implement cutting-edge AI capabilities, including Agentic AI frameworks and autonomous systems, to drive innovation and scalability.
- Partner with enterprise technology and HR data engineering teams to design scalable infrastructure and modernized pipelines that ensure reliability, security, and performance for AI-driven solutions.
- Collaborate with business stakeholders to align data science strategies with organizational objectives, compliance standards, and regulatory requirements.
- Deliver actionable insights through advanced research and modeling, ensuring adherence to ethical AI principles, data governance, and risk management protocols.
- Lead complex, high-impact initiatives using advanced analytical techniques to generate insights, visualizations, and recommendations that influence enterprise-wide decisions.
- Communicate findings effectively to non-technical audiences and provide thought leadership on best practices and emerging AI methodologies.
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:
- Proven experience with Generative AI, LLMs, and agentic AI frameworks.
- Strong programming skills in Python, SQL, and experience with Spark.
- Hands-on experience with Microsoft Fabric, Azure OpenAI, Dash, NotebookLM, and Copilot.
- Expertise in cloud platforms (Azure, GCP) and HR analytics ecosystems.
- Advanced knowledge of machine learning libraries (Scikit-learn, XGBoost, TensorFlow, PyTorch) and MLOps tools (MLFlow, AutoML).
- Experience with distributed computing and data infrastructure (Apache Spark, Lakehouse platforms, Snowflake, Databricks).
- Familiarity with ethical AI principles and responsible AI frameworks.
- Certifications in AI, ML, or cloud platforms (Azure, AWS, GCP).
- Strong leadership, collaboration, and communication skills with proven ability to influence.
- Experience leading large-scale data science initiatives with enterprise-level impact.
Job Expectations:
This position offers a hybrid work schedule.
Relocation assistance is not available for this position.
This position is not eligible for Visa sponsorship.
Posting Locations:
550 S. 4th St. - Minneapolis, MN
401 S. Tryon St. - Charlotte, NC
1525 W. W T Harris Blvd - Charlotte, NC
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.
$139,000.00 - $239,000.00Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
19 Nov 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.
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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