Associate Scientist, Data I

Scorpion Therapeutics; North Chicago (IL); On-site; USD 90,000 - 130,000; Full time

Job summary

AbbVie is seeking an Associate Scientist, Data I in North Chicago, IL to design, develop, and deploy data solutions for Operations. The role focuses on collecting and transforming data from manufacturing, lab, and enterprise systems, and building analytics tools to enable data-driven decisions.

The position requires a degree in a related field and knowledge of ETL/ELT, data modeling, and cloud platforms, with a strong emphasis on collaboration and problem-solving in cross-functional teams.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Information Systems, or a related field.
• Understanding of data engineering concepts (ETL/ELT, data modeling, cloud-based data platforms).
• Strong problem-solving, communication, and collaboration skills.
• Interest in applying data and digital technologies to improve manufacturing, laboratory, and operational performance.
• Must be curious, collaborative, and passionate about leveraging data to solve complex operational challenges.
• Comfortable working in cross-functional teams and eager to learn emerging technologies.

Responsibilities

• Develop and maintain data pipelines, integrations, and data products that 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.
• Collaborate with subject matter experts to define data requirements and translate business needs into technical solutions.
• Contribute to data quality, governance, and standardization efforts to ensure trusted and accessible data.
• Build dashboards, visualizations, and analytical tools that enable data-driven decision making.
• Participate in proof-of-concept, pilot, and innovation projects within the Emerging Technologies portfolio.
• Document technical solutions and follow established engineering and data management best practices.

Skills

Data engineering concepts

ETL/ELT

Data modeling

Cloud-based data platforms

Python

SQL

Data analytics tools

Machine learning

AI

Data visualization tools

Cross-functional collaboration

Education

Bachelor's or Master's degree in Data Science/CS/Engineering/Statistics/Info Systems

Job description

The Associate Scientist, Data I supports the design, development, and deployment of data and analytics solutions that enable digital transformation across AbbVie Operations.

Responsibilities

• Develop and maintain data pipelines, integrations, and data products that 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.
• Collaborate with subject matter experts to define data requirements and translate business needs into technical solutions.
• Contribute to data quality, governance, and standardization efforts to ensure trusted and accessible data.
• Build dashboards, visualizations, and analytical tools that enable data-driven decision making.
• Participate in proof-of-concept, pilot, and innovation projects within the Emerging Technologies portfolio.
• Document technical solutions and follow established engineering and data management best practices.

Qualifications

Required

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Information Systems, or a related field.
• Understanding of data engineering concepts (ETL/ELT, data modeling, cloud-based data platforms).
• Strong problem-solving, communication, and collaboration skills.
• Interest in applying data and digital technologies to improve manufacturing, laboratory, and operational performance.
• Must be curious, collaborative, and passionate about leveraging data to solve complex operational challenges.
• Comfortable working in cross-functional teams and eager to learn emerging technologies.

Preferred

• Experience with Python, SQL, and data analytics tools.
• Familiarity with machine learning modeling, AI, or data visualization tools.