Senior Data Scientist - Team Lead (Hybrid)

Role Summary

Senior Data Scientist - Team Lead (Hybrid) at AbbVie. Conceive, design and implement new business technology solutions that solve significant scientific or business problems through the integration, visualization, and analysis of large and complex data. Lead efforts, generate proposals, and translate advances in data science into practical solutions for multiple business areas. Onsite in Lake County 3 days a week.

Responsibilities

• Conceive, design and implement new business technology solutions that solve significant scientific or business problems through the integration, visualization, and analysis of large and complex data.
• Demonstrate the ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise.
• Demonstrate high proficiency across a wide range of technologies related to the storage, transfer, integration, visualization, and analysis of large and complex data sets. Broad expertise in software development, data warehousing, statistics, and machine learning.
• Demonstrate deep knowledge of the pharmaceutical and healthcare business, and utilize this knowledge in the rapid advancement of agile, impactful, and cost-effective solutions
• Highly autonomous and productive in performing activities, requiring only minimal direction from or interaction with supervisor.
• Seize opportunities to pursue relevant leads that are in line with the group‚Äôs strategy.
• Proactively seek out new information and technologies in the literature/public domain and incorporate into individual project(s) as well as the overall program
• May mentor/supervise a team of one or more and guide and evaluate the performance of those individuals; is accountable for the effective performance of the team/individuals.
• A primary author of publications and presentations.
• Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security.

Qualifications

• Bachelor‚Äôs Degree with 7 years‚Äô experience; Master‚Äôs Degree with 6 years‚Äô experience; PhD with 2 years‚Äô experience. Background in life sciences or work experience in the pharmaceutical industry preferred.
• Must have experience with AI, LLM or Agentic AI
• Experience with junior data scientist mentorship or management is preferred.
• Possess thorough theoretical and practical understanding of own discipline.
• Proven implementation of creative technology solutions that advanced the business.
• Excellent written and oral English communication skills.