Senior Scientist, Data ; Chemistry, Materials Controls – Acceleration

Senior Scientist, Data I (Chemistry, Materials Controls – Acceleration)

$94,000.00/yr - $/yr

Abb Vie'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 Abb Vie, please visit us at

Abb Vie’s Operations Business Insights (OBI) group is continuously innovating to transform Abb Vie operations organization to enable the use of data and analytics to drive world‑class innovation, performance, and agility in service of our patients across the globe. We are looking for a Senior Data Scientist with wide‑ranging analytics experience to work within a diverse operations business which includes Supply Chain, Manufacturing, Quality, Purchasing and Science & Technology.

The Senior Data Scientist will build and oversee the building of predictive/prescriptive models using statistical and machine‑learning methodologies. The Senior Data Scientist will also ensure end‑to‑end delivery of assigned data science applications, studies and POCs overseeing project teams of junior data scientists and data analysts. This role will also serve as a key contributor and thought leader to the group strategy, awareness/education activities and discovery/development/ideation of data science opportunities in the various functional areas OBI serves.

This role will operate about 50% client‑facing and 50% project involvement. Consulting and collaboration skill set is key to success in this role. This is a demanding role with highly visible impact to senior leaders across the operations context.

• Operate cross-functionally in collaboration with OBI functionally-aligned data scientists, senior functional leaders and business partners.
• 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 – spearheading the use of new methods and expanding the footprint of impactful data science.
• Develop advanced data analytical models and techniques from supervised and unsupervised machine learning, statistical analysis, and predictive modeling.
• Mentor and coach related team members
• Build relationships with stakeholders and collaborate with other statistical and data science teams in Abb Vie.
• Collaborate with OBI academic partners and Abb Vie Innovation Center on research projects and POCs

• Position requires a high degree of communication and collaboration with functional and business partners.
• Role is expected to maintain and execute practice roadmaps in alignment with functional partners and business partners at multi‑year, annual and quarterly timescales.
• Role is expected to maintain consulting, educational and briefing materials commensurate with the evolution of architecture, design, project status, and best practices for the practice/functional area and to collaborate on overall team materials.
• Role is expected to devise and operate an effective communication plan with key stakeholders.
• Role is expected to demonstrate thought leadership through proposals and planning for current and future state needs.
• Role is expected to quickly assess new opportunities (AI/ML techniques, technology, etc.) and present these within the current and future state of requirements, risk and cost‑effectiveness.
• Role is expected to perform requirements discovery, determine feasibility of various approaches, devise experimental approaches to test assumptions and devise solutions which incorporate non‑functional requirements such as scalability, interpretability, and maintainability.
• Role will be expected to drive one or more key internal initiatives such as cross‑functional GenAI development, data science platform evolution or operations-wide MLOps / governance /…