Data Scientist Senior--People Analytics & Quantitative Insights

PNC•Pittsburgh, PA

2d•Onsite

About The Position

The Senior Data Scientist works within PNC's Human Resources organization and is based in Pittsburgh, Pennsylvania. The role leads analytical projects that use large volumes of structured and unstructured data to generate actionable business insights. It directs data gathering, processing, and mining; develops algorithms using advanced mathematical and statistical techniques, including machine learning, to predict outcomes and recommend actions; and leads methodical analytical experiments to identify opportunities to optimize products and processes. The position presents findings to management through visualization and data storytelling and partners with data architects, analysts, engineers, and visualization experts to deliver data-driven solutions. The role also partners with business stakeholders to identify analytical opportunities and use quantitative methods and statistical reasoning to inform strategic and operational decisions. It develops analyses and dashboards that measure relationships between HR metrics and business outcomes, manages multiple initiatives and competing deadlines, and interprets complex data and model outputs using tools such as SAS, Python, or R. Findings and recommendations are communicated to technical and non-technical audiences. PNC describes itself as an in-office company and encourages candidates to discuss workplace expectations with their recruiter and hiring manager.

Requirements

Typically requires a university or college degree and 5 or more years of industry-relevant experience.
A comparable combination of education, job-specific certifications, and experience, including military service, may be considered in lieu of a degree.
Demonstrate the knowledge, skills, and abilities appropriate for the role.
No required certifications are listed.
No required licenses are listed.
No required or preferred language assessments are listed.

Nice To Haves

Preferred skills include analytical thinking, competitive advantages, data analytics, data mining, data science, and machine learning.
Relevant competencies include data architecture, data mining, disruptive innovation, information capture, machine learning, modeling of data, processes, events, and objects, prototyping, and query and database access tools.

Responsibilities

Partner with business stakeholders to identify analytical opportunities and develop data-driven solutions for strategic and operational decisions.
Apply quantitative methods and statistical reasoning to workforce data.
Use statistical analysis, data modeling, and data visualization to deliver analyses and dashboards connecting HR metrics with business outcomes.
Manage and prioritize multiple analytical initiatives, complex data requests, evolving business needs, and competing deadlines.
Analyze large, complex datasets and model outputs using tools such as SAS, Python, or R, and translate results into actionable insights and recommendations.
Communicate analytical findings effectively to technical and non-technical audiences.
Lead analytical projects using structured and unstructured data to extract business insights.
Direct data gathering, processing, and mining of large and complex datasets.
Lead development of algorithms using advanced mathematical and statistical techniques, including machine learning, to predict business outcomes and recommend actions.
Lead methodical analytical experiments to identify opportunities for product and process optimization.
Present business insights to management using visualization technologies and data storytelling.
Partner with data architects, data analysts, data engineers, and visualization experts to develop data-driven business solutions.
Focus on customer needs and satisfaction in business decisions and customized customer solutions.
Assess and manage risks associated with business objectives and activities in support of PNC's Enterprise Risk Management Framework.

Benefits

Medical and prescription drug coverage, with a Health Savings Account feature, subject to eligibility.
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 and elder care.
Adoption, surrogacy, and doula reimbursement.
Educational assistance, including select programs that are fully paid.
Wellness program with financial incentives.
Maternity and/or parental leave, depending on eligibility.
Up to 11 paid holidays each year, depending on eligibility.
9 occasional absence days each year, unless otherwise required by law.
Between 15 and 25 vacation days each year, depending on career level and years of service.