Associate Scientist, Data I

AbbVie

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: North Chicago, IL
Posted: 10 days ago
Freshness: Confirmed live yesterday
Closes: Sep 1, 2126
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $167k

$84k most similar roles pay here $240k

This listing doesn't post a salary. Most similar roles pay $126,800–$207,375.

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.

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At a glance

TL;DR · Associate Scientist, Data I

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The Associate Scientist, Data I supports the design, development, and deployment of data and analytics solutions to enable digital transformation across operations. Working at the intersection of data science, data engineering, and manufacturing technology, this individual builds scalable data products, AI solutions, and operational insights for manufacturing, supply chain, laboratory, and engineering functions. Day-to-day responsibilities include developing data pipelines, integrating diverse data sources, creating dashboards and visualizations, and ensuring data quality and governance. The role involves translating business needs into technical solutions while participating in innovation projects within the Emerging Technologies portfolio. Candidates should possess a degree in a relevant field and knowledge of ETL/ELT processes and cloud-based platforms. Preferred skills include proficiency in Python, SQL, machine learning modeling, AI, and various data visualization tools to solve complex operational challenges.

Skills

Python SQL Data Engineering ETL ELT Machine Learning AI Data Modeling Data Visualization Analytics Data Pipelines

What you'll do

Develop and maintain data pipelines, integrations, and products to support operational use cases.
Collect, transform, and analyze data from manufacturing, laboratory, and enterprise systems.
Support the development and deployment of AI, machine learning, and advanced analytics solutions.
Translate business needs into technical solutions by collaborating with subject matter experts.
Execute data quality, governance, and standardization efforts to ensure trusted data access.
Build dashboards, visualizations, and analytical tools to enable data-driven decision making.
Participate in proof-of-concept and innovation projects within the Emerging Technologies portfolio.
Document technical solutions following established engineering and data management best practices.

What we're looking for

Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Information Systems, or a related field.
Understanding of data engineering concepts including ETL/ELT, data modeling, and cloud-based data platforms.
Strong problem-solving, communication, and collaboration skills.
Experience with Python, SQL, and data analytics tools.
Familiarity with machine learning modeling, AI, or data visualization tools.

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