Data Scientist II

Company Description

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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

Come to work each day with an inclusive and collaborative Business technology team! As an Data Scientist in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.

***This is a hybrid role based in Lake County, IL***

We are looking for a Data Scientist with entry-level analytics experience, preferably in an operations business which includes one or more Supply Chain, Manufacturing, Quality, Purchasing and Science & Technology.

The Data Scientist will assist in exploratory data analysis, explanatory data analysis, execution of analysis plans, develop predictive models using statistical and machine-learning methodologies with complex modeling techniques in collaboration with more senior team members and communicate insights to the team.

Responsibilities

• Assist the team with the analysis of business requirements and developing solution recommendations which anticipate the future impact of changing business requirements.
• Participate in the design and development of processes and systems to consolidate and analyze data. Considerations include variety (structured, unstructured), volume (includes big data), data quality (cleaning and validation of the data) and velocity (batch, stream).
• Participate in the development in advanced analytical models and techniques from supervised and unsupervised machine learning, statistical analysis, and predictive modeling.
• In collaboration with more senior team members, we generate reports with findings and help to communicate these ef