Senior Data Scientist, People Analytics & Quantitative Insights

PNC

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Pittsburgh, PA
Posted: 12 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $156k

$86k most similar roles pay here $217k

This listing doesn't post a salary. Most similar roles pay $126,800–$184,900.

Based on 240 similar postings.

Employer

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 118 open roles on FindRole.

Listed pay typically runs $86,250–$172,500 across 62 roles with salary data.

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At a glance

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

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As a Data Scientist Senior - People Analytics & Quantitative Insights within the Human Resources organization, you will partner with business stakeholders to identify analytical opportunities and develop data-driven solutions for strategic decision making. You will manage multiple initiatives, utilizing statistical analysis, data modeling, and visualization techniques to quantify relationships between HR metrics and business outcomes. Your daily work involves analyzing large, complex datasets of structured and unstructured information to extract actionable insights. You will build algorithms using advanced mathematical and statistical techniques like machine learning to predict outcomes and optimize processes. The role requires proficiency in SAS, Python, or R, along with skills in data mining, modeling, and query and database access tools. This position focuses on solving human resources problems by translating complex workforce data into clear recommendations for both technical and non-technical audiences.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

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Skills

Data Science Machine Learning Python R SAS Data Mining Data Modeling Data Visualization Statistical Analysis Data Architecture Data Processing

What you'll do

Identify analytical opportunities with business stakeholders to develop data-driven solutions for strategic decision-making.
Use statistical analysis, modeling, and visualization to quantify relationships between HR metrics and business outcomes.
Manage and prioritize multiple complex analytical initiatives while meeting competing deadlines in a fast-paced environment.
Analyze large datasets using SAS, Python, or R to translate results into actionable insights for diverse audiences.
Lead the implementation of projects that extract business insights from both structured and unstructured data.
Develop machine learning algorithms and advanced mathematical models to predict outcomes and recommend optimal actions.
Conduct methodical analytical experiments to identify opportunities for product and process optimization.
Present complex findings to management using visualization technologies and effective data storytelling.

What we're looking for

Candidates should possess a Master's degree or a comparable combination of education, certifications, and experience.
Roles at this level typically require 5+ years of industry-relevant experience.
Proficiency in data mining and advanced machine learning techniques is required to predict business outcomes.
Experience with statistical analysis, data modeling, and data visualization tools is required.
Ability to analyze large, complex datasets using tools such as SAS, Python, or R.
Skills in data architecture, information capture, and query/database access tools are preferred.
Ability to translate complex technical findings into actionable insights for both technical and non-technical audiences.
Strong analytical thinking and ability to manage multiple projects in a fast-paced environment.