Data Scientist Senior, People Analytics & Quantitative Insights

PNC

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Quick summary

Work type
On-site
Location
Pittsburgh, PA
Employment
Full-time
Posted
57 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $154k
$95k $213k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$181,075.

Based on 240 similar postings.

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About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 159 open roles on FindRole.

Listed pay typically runs $91,000–$179,200 across 22 roles with salary data.

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At a glance

TL;DR · Data Scientist Senior, People Analytics & Quantitative Insights

JOB TITLE: Data Scientist Senior - People Analytics & Quantitative Insights As a Data Scientist Senior within the Human Resources organization, you will partner with business stakeholders to identify analytical opportunities and develop data-driven solutions for strategic and operational decision making. You will lead the implementation of analytical projects, directing data gathering, processing, and mining of large, complex datasets. Your daily work involves developing algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommending optimal actions. You will utilize SAS, Python, or R to model outputs and create dashboards that quantify relationships between HR metrics and business outcomes. Key competencies include data architecture, data mining, information capture, and prototyping. You will also lead methodical experiments to find opportunities for product and process optimization while communicating insights to technical and non-technical audiences.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

See salary data

What you'll do

  • Partner with stakeholders to identify analytical opportunities and develop data-driven solutions for strategic decision-making.
  • Utilize statistical analysis, data modeling, and visualization to quantify relationships between HR metrics and business outcomes.
  • Analyze large, complex datasets using SAS, Python, or R to provide actionable insights and recommendations.
  • Lead the development of machine learning algorithms to predict business outcomes and recommend optimal actions.
  • Direct the gathering, processing, and mining of large and complex structured and unstructured datasets.
  • Manage and prioritize multiple analytical initiatives and complex data requests in a fast-paced environment.
  • Lead methodical analytical experiments to identify opportunities for product and process optimization.
  • Present business insights to management using visualization technologies and data storytelling.

What we're looking for

  • 5+ years of industry-relevant experience.
  • Proficiency in SAS, Python, or R.
  • Experience with data modeling, data mining, and machine learning.
  • Ability to perform statistical analysis and data visualization to interpret workforce data.
  • Experience with query and database access tools.
  • Analytical Thinking (preferred).
  • Data Science (preferred).

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