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

  • Natural Language Processing (NLP) skills
  • Experience working with LLMs (agentic development)
  • Can deliver dynamic web user interfaces
  • Web development background (JavaScript, HTML, CSS)
  • Experience with Azure / AWS
  • Python
  • 5+ years of industry-relevant experience
  • Masters degree

Nice To Haves

  • Amazon Web Services (AWS)
  • Analytical Thinking
  • Competitive Advantages
  • Data Analytics
  • Data Mining
  • Data Science
  • Large Language Models (LLMs)
  • Machine Learning (ML)
  • Python (Programming Language)

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
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