PNC is looking to hire a Data Scientist Senior / Data Analyst to lead data-driven initiatives that span from data acquisition and cleansing to advanced algorithm development, combining analytical rigor with predictive modeling and experimentation capabilities.
Requirements
- SQL, Python, SAP S4 HANA, Cloudera, and data visualization tools (e.g., Power BI, Tableau), cloud platforms (Azure, AWS) and big data technologies (e.g., Spark, Hadoop), AI Tools
- Analytical Thinking
- Data Analytics
- Data Mining
- Data Science
- Machine Learning
- Data Architecture
Responsibilities
- Design and implement data acquisition, integration, and archival strategies.
- Ensure data integrity, availability, and security across multiple sources and formats.
- Structure logical storage environments and map database elements for optimal performance.
- Lead analytical projects using structured and unstructured data to uncover actionable insights.
- Direct data gathering, processing, and mining of large, complex datasets.
- Develop and deploy machine learning models and statistical algorithms to predict outcomes and optimize decisions.
- Present insights using advanced visualization tools and data storytelling techniques.
Other
- Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
- Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
- Collaboration, storytelling, curiosity, creativity
- PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
- In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
