Quality Data Scientist

AbbVie

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, IL
Salary
$84,500–$162,000 / yr
Posted
20 days ago
Freshness
Confirmed live yesterday
Closes
Aug 21, 2126

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $162k
This role $123k
$69k most similar roles pay here $232k

This role pays less than 92% of similar roles. Most pay $126,800–$196,387 — the shaded band above. At the midpoint, this role pays about $123k versus about $162k for comparable roles.

Based on 240 similar postings.

Employer

About AbbVie

AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.

AbbVie currently has 297 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 271 roles with salary data.

Most-posted roles

View all roles at AbbVie

At a glance

TL;DR · Quality Data Scientist

The Quality Data Scientist joins the Operations Quality Data Analytics group to provide advanced analytics for quality, product, and process improvements. This role involves building and overseeing predictive and prescriptive models using statistical methods and machine learning. The individual will manage end-to-end delivery of data science applications, studies, and proofs of concept while collaborating cross-functionally with business partners and mentoring junior team members. Key responsibilities include identifying business needs to create standard KPIs and ensuring all work products meet regulatory standards like GMPs and ICH Guidelines. Required technical skills include proficiency in R or Python, visualization tools such as PowerBI, Spotfire, or Tableau, and data science platforms including Dataiku, Snowflake, and Databricks. The role focuses on solving complex operational problems through supervised/unsupervised learning, deep learning, and generative AI techniques to drive data-driven decision-making.

What you'll do

  • Build and oversee predictive and prescriptive models using statistical and machine-learning methodologies.
  • Develop advanced analytical models including supervised/unsupervised learning, deep learning, and Generative AI.
  • Consult with business users to analyze requirements and recommend solutions for future business needs.
  • Manage the end-to-end delivery of data science applications, studies, and proofs of concept.
  • Identify business needs to create standard KPIs, reports, and statistical analyses.
  • Coach and mentor junior team members while providing technical guidance.
  • Ensure all work products comply with federal regulations, Good Manufacturing Practices (GMPs), and internal SOPs.

What we're looking for

  • Bachelor's degree with 4+ years experience, Master's with 2+ years, or a PhD with 0+ years of related experience in a relevant field.
  • Intermediate proficiency in R, Python, or other statistical packages.
  • Intermediate knowledge of statistical and data mining techniques.
  • Intermediate proficiency with visualization tools such as PowerBI, Spotfire, or Tableau.
  • Intermediate proficiency with data science platforms like Dataiku, Snowflake, or Databricks.
  • Experience with Machine Learning and advanced analytics techniques is preferred.
  • Demonstrated ability to communicate technical concepts in layman's terms and solve problems effectively.
  • Proven ability to manage multiple priorities in a fast-paced environment.

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