Managing Data Scientist; Chemistry, Materials Controls Acceleration

Managing Data Scientist (Chemistry, Materials Controls Acceleration)

Abb Vie 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. We are looking for a Managing Data Scientist with broad analytics experience to work within a diverse operations business that includes Supply Chain, Manufacturing, Quality, Purchasing and Science & Technology.

The Managing Data Scientist will build predictive and 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. The role will also ensure end-to-end delivery of assigned data science applications, oversee project teams of mid-level and junior data scientists and data analysts, and serve as a key contributor and thought leader to the group strategy.

• 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 that 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 to expand the footprint of impactful data science.
• 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, mentoring and coaching related team members.
• Collaborate with academic partners and Abb Vie Innovation Center on research projects and POCs.

• 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 Maker, statistical languages and packages (R, Python, Julia, SAS), data visualization tools (Tableau, ggplot, matplotlib, R/Shiny, Qlik), data manipulation tools (SQL, Spark, PySpark, Hive), cloud environments (Azure, AWS), deep learning tools (Tensor Flow, Keras, PyTorch).
• Use advanced approaches in AI development such as RAG and semantic layering of data to implement advanced AI‑augmented human‑in‑the‑loop applications.
• Expertise in designing and developing processes and systems to consolidate and analyze data, considering structure, volume, quality, and velocity.
• Expertise in processes and procedures for missing data analysis, data quality, master data management, and good preparation practices for modeling.
• Expertise in story‑telling with data and communicating complex topics to audiences of all levels.
• Able to drive internal learning through journal clubs and internal data science education sessions.
• Able to communicate effectively to an executive level audience.

• 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, in a non‑academic setting – Data Science/Statistics/Predictive analytics or similar.
• Experience in full life‑cycle and evolution of complex data science applications including Agile Project management processes.
• Evidence of consulting skills/experience: maintaining and executing practice roadmaps, maintaining consulting, educational, and briefing materials, devising an effective communication plan with key stakeholders, and demonstrating…