Data Scientist

AbbVie • Mettawa, IL

315d

About The Position

Come to work each day with an inclusive and collaborative business technology team. As a Data Scientist in AbbVie Business Technology Solutions (BTS), you will 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.

Requirements

• Bachelor's Degree with 7 years experience; Master's Degree with 6 years experience; PhD with 2 years experience.
• 5+ years of working experience in data science framework and knowledge of statistical or AI/ML learning models.
• 5+ years of experience in advanced SQL, Python, Spark, and a broad array of ML frameworks.
• 3+ years of experience with advanced analytics and data science platforms like Dataiku.
• 3+ years of experience with Data Visualization tools like Power BI and Tableau or ThoughtSpot.
• 3+ years of experience with cloud data warehouses like Snowflake or Amazon RedShift.
• 3+ years of experience with GenAI application development and LLM-based solution architecture.
• 3+ years of experience in developing and deploying solutions in a Cloud environment (AWS, Azure).
• Experience in data mining, data discovery, building curated data sets, and insight generation.

Nice To Haves

• Experience with Pharma data, including insights into commercial sales and field operations.
• Consulting experience in Data science and Advanced Analytics domain.

Responsibilities

• Bring advanced analytics knowledge of best-in-class data science methodologies.
• Deep understanding of AI/ML space and proven history of solving business problems using data science.
• Work with cross-functional teams to deliver and execute complex analytics problems.
• Experience with Natural Language Processing (NLP) techniques and LLM prompt engineering.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Lead the advanced analytics framework through AI/ML.
• Work with complex data sets (unstructured and structured data) to solve business use cases.
• Establish robust measurement frameworks and deliver business value with data-driven insights.
• Design/Develop data visualizations to effectively communicate insights.
• Establish and follow data science's best practices including peer review, code review, and documentation.
• Serve as internal Data Science SME and drive the self-service citizen data science COE.
• Initiate and drive projects with minimal oversight and guidance.

Benefits

• Paid time off (vacation, holidays, sick)
• Medical/dental/vision insurance
• 401(k) to eligible employees
• Short-term incentive programs
• Long-term incentive programs

What This Job Offers

• Career Level: Mid Level
• Industry: Chemical Manufacturing
• Education Level: Bachelor's degree