PNC Data Scientist Senior 

United States, Pennsylvania, Pittsburgh 

102009324

Master’s degree in Analytics, Economics, Engineering, Statistics, Mathematics, or Information Systems Management plus 3 years of experience in data querying with SQL and programming in Python for developing applications for a large organization (>10,000 employees) is required. Must have experience with: (i) handling, manipulation and analysis of large datasets (multiple gigabytes of data) persisted on Hadoop, Neo4j and cloud data platforms; (ii) using statistical analysis techniques including logistic regression, time series analysis, and hypothesis testing; (iii) utilizing data query tools including SQL, R, and Python to manipulate, analyze and interpret data; (iv) writing and implementing code to clean and transform large tabular and text datasets (typically exceeding 1 million rows of data) to a consistent format usable in data visualization and developing machine learning models; (v) enriching in-house data by integrating with external data sources (Bureau and third party vendor data) to extract and analyze trends for risk management; (vi) designing rich data visualizations to communicate complex ideas to customers or company leaders; (vii) programmatically extracting data from a Hadoop database and transforming the data into a presentable form using Python plotting libraries (Matplotlib and Seaborn) and Tableau visualizations; and (viii) building machine learning models to drive business insights and improve financial outcomes.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

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