Data Scientist Senior - Data, Model & Analytics

PNC • Pittsburgh, PA

1d • $78,000 - $186,940 • Onsite

About The Position

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.

Requirements

• Master’s degree in data science, computer science, engineering, applied mathematics or related field.
• At least 5 years of experience with direct data science or machine learning projects in industry, with 2+ years, specifically in NLP.
• Strong background in Mathematics and Statistics.
• Demonstrable mathematical inventiveness for novel problem solving (via probability, optimization, information theory, linear algebra)
• Very strong expertise in data collection, cleaning, preprocessing, and transforming data.
• Expert programming skills in Python, PyTorch, Spark, and SQL.
• Solid software practices (testing, packaging, CI).
• MLOps familiarity.
• Experience with big data platforms.
• Research mindset reads/reproduces papers; designs baselines/ablations; evaluates for robustness, drift, and fairness.
• Meticulous about data quality, reproducibility, and experiment tracking.
• Experience in transfer learning and in fine tuning open-source transformer models.
• Practical NLP/LLM experience and awareness of evaluation pitfalls (hallucinations, prompt sensitivity, grounding).
• Strong collaborator within and between cross-functional teams; excellent verbal and written communication skills; adapts communication to audience: effectively communicate technical concepts and results to both technical and business audiences
• Curious, hardworking, detail-oriented, and action-oriented; motivated by complex analytical problems; investigates failure modes; documents learnings clearly.
• Prioritizes pace over perfection and is comfortable in the face of changing circumstances and business priorities
• Excited by the prospect of delivering value through the application of emerging technologies and techniques.
• 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.

Nice To Haves

• A PhD degree is preferred but not required.
• Experience with cloud-native model development and deployment preferred.
• Creative and pragmatic: chooses the simplest high impact approach (prompting, adapters, retrieval, distillation) before heavy training.
• Previous experience in financial services industry is not required but is considered a plus.
• Comfortable aligning work with governance expectations.

Responsibilities

• 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.

Benefits

• medical/prescription drug coverage (with a Health Savings Account feature)
• dental and vision options
• employee and spouse/child life insurance
• short and long-term disability protection
• 401(k) with PNC match
• pension and stock purchase plans
• dependent care reimbursement account
• back-up child/elder care
• adoption, surrogacy, and doula reimbursement
• educational assistance, including select programs fully paid
• a robust wellness program with financial incentives
• maternity and/or parental leave
• up to 11 paid holidays each year
• 9 occasional absence days each year, unless otherwise required by law
• between 15 to 25 vacation days each year, depending on career level; and years of service.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior