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Managing Data Scientist – (Chemistry, Materials Controls – Acceleration)

AbbVie

Salary not specified
Jan 2, 2026
North Chicago, IL, US
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AbbVie's Operations Business Insights (OBI) group is looking to transform AbbVie operations organization to enable the use of data and analytics to drive world-class innovation, performance, and agility in service of patients across the globe

Requirements

  • Expert knowledge of statistical and machine learning methods, with expertise in modeling and business analytics
  • Data Science tools like Dataiku, AWS SageMaker, statistical languages, and packages, e.g., R, Python, Julia, SAS
  • Data visualization tools and techniques, e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik
  • Data manipulation tools such as SQL, Spark, PySpark and Hive
  • Cloud environments like Azure and AWS
  • Deep learning tools such as Tensorflow, Keras and PyTorch
  • Expertise in designing and developing processes and systems to consolidate and analyze data

Responsibilities

  • Operate cross-functionally in a highly collaborative manner with OBI functionally-aligned data scientists, senior functional leaders and business partners
  • Manage a diverse set of talent to deliver project-based data science and transformative projects
  • Consult with business users in the analysis of requirements and recommend solutions which anticipate the future impact of changing business requirements
  • Seek, develop, and implement opportunities for technology transfer of data science methods into functional areas
  • Develop advanced data analytical models and techniques from supervised and unsupervised machine learning, statistical analysis, deep learning and predictive modeling
  • Build relationships with stakeholders and collaborate with other statistical and data science teams in AbbVie while mentoring and coaching related team members
  • Collaborate with academic partners and AbbVie Innovation Center on research projects and POCs

Other

  • Undergraduate with 7 years of experience, master’s degree with 6 years of experience, or PhD in a related quantitative field with 2 years of experience
  • Experience in full life-cycle and evolution of complex data science applications including Agile Project management processes
  • Evidence of consulting skills/experience, including maintaining and executing practice roadmaps and devising and operating an effective communication plan
  • Demonstrated thought leadership through proposals, white papers, architectural inputs and planning for current and future state needs
  • Ability to communicate effectively to an executive level audience