Managing Data Scientist; Chemistry, Materials Controls – Acceleration

Managing Data Scientist (Chemistry, Materials Controls – Acceleration)

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This range is provided by Abb Vie. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/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  Follow @abbvie on X, Facebook, Instagram, You Tube, Linked In and Tik Tok.

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 data scientist with broad analytics experience to work within a diverse operations business which includes Supply Chain, Manufacturing, Quality, Purchasing and Science & Technology.

The position is for a Managing Data Scientist with a wide-ranging set of responsibilities for a multi-level and multi-skilled delivery team building predictive/prescriptive models using statistical and machine-learning methodologies to serve the cross‑functional needs of the CMC acceleration from our MES and PDS&T functional organization to accelerate product delivery from R&D into full scale commercialization. The Managing Data Scientist will also ensure end‑to‑end delivery of assigned data science applications, studies and POCs;

overseeing project teams of mid‑level and junior data scientists as well as 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 augmenting our globalized business process approach to enable transformative change with AI. This role will operate about 50% client‑facing and 50% project involvement.

Consulting and collaboration skill sets are 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 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 – spearheading the use of new methods and expanding the footprint of impactful data science with our manufacturing and CMCM processes to implement strategy and transformative change in those 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 Abb Vie while mentoring and coaching related team members.
• Collaborate with academic partners and Abb Vie Innovation Center on research projects and POCs.

• 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.
• Drive multiple key internal initiatives in cross‑functional GenAI development.

• Expert knowledge of statistical and machine learning methods, with expertise in modeling and business analytics.
• Consulting skills commensurate with a thought leader and consultative partner for senior level business stakeholders.
• Data Science tools like Dataiku, AWS Sage…