Data Scientist Senior - People Analytics & Quantitative Insights

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success.

As a Data Scientist Senior within PNC's Human Resources organization, you will be based in Pittsburgh, PA.

Responsibilities include, but are not limited to:

• Partner with business stakeholders to identify analytical opportunities, applying quantitative methods and statistical reasoning to interpret workforce data and develop data-driven solutions that inform strategic and operational decision making.
• Utilize statistical analysis, data modeling, and data visualization techniques to design and deliver analyses and dashboards that quantify relationships between HR metrics and business outcomes.
• Manage and prioritize multiple analytical initiatives, balancing complex data requests, evolving business needs, and competing deadlines in a fast-paced environment.
• Analyze large, complex datasets and model outputs using tools such as SAS, Python, or R, translating results into actionable insights and recommendations, and communicating findings effectively to both technical and non-technical audiences.

• Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
• Directs the data gathering, data processing and data mining of large and complex datasets.
• Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
• Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling.
• Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)

Competencies Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools

Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.