About this role:
We are seeking a highly skilled Lead Data Science Consultant, HR People Analytics, to join our growing Data Science & Advanced Analytics team within People Analytics and our Human Resources (HR) organization at Wells Fargo! This is an exciting opportunity to play an impactful role in building and maturing data powered thinking and analytical capabilities across the HR business to guide strategies, enhance decisions, and maximize investments in our #1 asset (people). Our commitment to excellence and continuous improvement drives our success. We thrive on leveraging science and analytics to bring data driven insight and structure to complex people problems and tactics that position our talent as a key source of competitive advantage. Our team is tasked with converting massive data into real-time insight and actionable intelligence by harnessing the power of cutting-edge research, analytics, teamwork, and technology. Your expertise in data science and advanced analytics will be vital to shaping people-centric strategies and game-changing capabilities that push boundaries of what is possible and unlock potential across the employee life cycle. Join our team and contribute to shaping the future of our world-class HR organization at Wells Fargo. Learn more about the career areas and business divisions at wellsfargojobs.com .
In this role, you will:

• Lead design, development, and implementation of complex analytical processes and data driven algorithms/models to extract patterns and relationships from large/diverse data sets and convert into meaningful insights and evidence-based strategies for HR business problems and challenges
• Utilize expertise in advanced analytical techniques such as AI, Machine Learning (ML) and Natural Language Processing (NLP) to process data at scale and synthesize into actionable intelligence, including unstructured data sources (e.g., employee surveys, performance reviews, skills inventory)
• Leverage data science tools and methodologies to perform quantitative and qualitative research and investigate opportunities across employee life cycle (e.g., talent sourcing, workforce planning, learning/development, employee experience, listening/engagement, retention/attrition)
• Develop predictive models to forecast complex HR related issues, such as turnover and staffing
• Generate hypotheses regarding trends and drivers of employee behavior/performance, execute statistical tests to support/disprove, ensuring reliability, explainability, and ethics/responsibility
• Present findings with effective storytelling, visualizations, and clear communication to interpret findings and convey technical concepts to non-technical stakeholders and senior leadership
• Support and maintain scalable data pipelines and architectures, including ingestion, preprocessing, feature engineering, model development/deployment, performance monitoring/tuning, etc.
• Ensure data integrity and quality standards, adhering to internal and external policies, procedures, and best practices for HR data management, risk/governance, and legal/regulatory compliance
• Collaborate with HR stakeholders across functional teams to understand talent strategies, opportunities, and pain points to align analytical products/services with business outcomes
• Drive data literacy and advocate for data-driven decision-making across the HR organization
• Stay current with advancements in data science, technology, AI/ML, and people analytics
• Lead analytical projects with clear communication of objectives/outcomes, tasks, and timelines

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:

• 5 years of data science experience, with expertise in advanced analytics and statistical analysis/modeling (e.g., predictive, forecasting), including quantitative and qualitative methods
• Proficiency in SQL, Python, R, etc. programming languages/apps for data mining and modeling
• Expertise with AI/ML libraries and packages (e.g., TensorFlow, PySpark) and big data tools and platforms (e.g., Hadoop, Spark, MS Azure)
• Experience with Natural Language Processing (NLP) techniques and frameworks (e.g., NLTK, spaCy, BERT, topic modeling), highly preferred
• Experience with HR domain and data sources (e.g., Workday, ServiceNow), including people analytics and workforce insights, highly preferred
• Well-versed in data analysis/visualization tools (e.g., Tableau, Power BI, PowerPoint/Excel)
• Excellent analytical and problem-solving skills, ability to think critically and strategically
• Excellent verbal, written, and interpersonal communication and presentation skills
• Ability to execute with precision and agility in fast paced, highly controlled environment

Job Expectations:

• Preferred locations: Minneapolis, MN; Charlotte, NC
• This position offers a hybrid work schedule
• Relocation assistance is not available for this position
• Ability to travel up to 5-10% of the time
• This position is not eligible for Visa sponsorship

Primary Posting Location:

• 550 S 4th St., MINNEAPOLIS, MN 55415

Additional Posting Locations:

• 8740 Research Dr., CHARLOTTE, NC 28262

Posting Statements:

• Job posting may come down early due to volume of applicants
• Preferred locations listed above
• Relocation assistance is not available for this position
• Wells Fargo only considers candidates who are presently authorized to work for any employer in the United States and who do not require work visa sponsorship from Wells Fargo now or in the future in order to retain their authorization to work in the United States

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Posting End Date:
14 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.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
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Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.