Associate Scientist, Data I

About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube.

The Associate Scientist, Data I supports the design, development, and deployment of data and analytics solutions that enable digital transformation across AbbVie Operations. This role works at the intersection of data science, data engineering, and manufacturing technology to help deliver scalable data products, AI solutions, and operational insights that drive efficiency, quality, and innovation. The position collaborates with business stakeholders, engineers, scientists, and technology teams to integrate data from diverse sources, develop analytics workflows, and support emerging technology initiatives across manufacturing, supply chain, laboratories, and engineering functions.

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.

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, including ETL/ELT, data modeling, and 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. Must be comfortable working in cross-functional teams and eager to learn emerging technologies that accelerate innovation across AbbVie Operations. Preferred: Experience with Python, SQL, and data analytics tools. Familiarity with machine learning modelling, AI, or data visualization tools is preferred. Additional Information ​Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​ The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​ We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​ This job is eligible to participate in our short-term incentive programs. ​ Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus,