Data Scientist Senior--People Analytics & Quantitative Insights

PNC Bank•Pittsburgh, PA

20h•Onsite

About The Position

As a Data Scientist Senior in PNC's Human Resources organization, you will partner with business stakeholders to identify analytical opportunities and use quantitative methods and statistical reasoning to interpret workforce data. You will develop data-driven solutions that inform strategic and operational decisions, and design analyses and dashboards that quantify relationships between HR metrics and business outcomes. The position is based in Pittsburgh, Pennsylvania, and PNC describes its workplace as in-office. The role leads analytical projects that use structured and unstructured data to generate business insights. It directs data gathering, processing, and mining; leads the development of algorithms using advanced mathematical and statistical techniques, including machine learning; and conducts analytical experiments to identify opportunities for product and process optimization. The role presents findings to management through visualization and data storytelling and partners with Data Architects, Data Analysts, Data Engineers, and Visualization Experts to deliver data-driven solutions. The successful candidate will manage multiple analytical initiatives, work with large and complex datasets and model outputs using tools such as SAS, Python, or R, and communicate actionable findings to technical and non-technical audiences. PNC emphasizes customer focus and effective risk management. PNC will not provide employment visa sponsorship or participate in STEM OPT for this position.

Requirements

A university or college degree, typically, or a comparable combination of education, job-specific certifications, and experience, including military service, may be considered in lieu of a degree.
Five or more years of industry-relevant experience is typically required for roles at this level.
Master's degree is listed under Education.
Demonstrated appropriate knowledge, skills, and abilities for the role.
Ability to use analytical tools such as SAS, Python, or R.
Specific certifications are often required for roles at this level; no required certification is listed for this position.
No required license is listed for this position.

Nice To Haves

Analytical thinking.
Competitive advantages.
Data analytics.
Data mining.
Data science.
Machine learning (ML).
Knowledge or competency in data architecture, disruptive innovation, information capture, modeling (data, process, 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 decision-making.
Apply quantitative methods and statistical reasoning to interpret workforce data.
Use statistical analysis, data modeling, and data visualization to design and deliver analyses and dashboards that quantify relationships between HR metrics and business outcomes.
Manage and prioritize multiple analytical initiatives while balancing complex 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 that use structured and unstructured data to extract actionable business insights.
Direct the 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 to management.
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 fully paid programs.
Wellness program with financial incentives.
Maternity and/or parental leave, depending on eligibility.
Up to 11 paid holidays each year, depending on eligibility.
Nine occasional absence days each year, unless otherwise required by law, depending on eligibility.
Between 15 and 25 vacation days each year, depending on career level and years of service.