Managing Data Scientist (Chemistry, Materials Controls – Acceleration)

AbbVies Operations Business Insights (OBI) group is continuously innovating to transform AbbVie 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. 

High Level 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 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 AbbVie while mentoring and coaching related team members 

• Collaborate with academic partners and AbbVie Innovation Center on research projects and POCs 

Detailed expectations include (but not limited to): 

• 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. 

Tools and skills you will use: 

• 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 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. 

• Use advanced approaches in AI development such as RAG and semantic layering of data to implement advanced used cases of AI augmented human-in-the-loop applications. 

• Expertise in designing and developing processes and systems to consolidate and analyzedata. Considerations include variety (structured unstructured) volume (includes big data) data quality (cleaning and validation of the data) and velocity (batch stream). 

• Expertise in processes / 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 internal data science education sessions and continuously deepen the team knowledge in data science practice and research. 

• Able to communicate effectively to an executive level audience. 

Qualifications :

Required:

• Undergraduate with 7 years of experience masters 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. For advanced degree holders preference is for quantitative or engineering undergraduates such as chemistry/chemical engineering mathematics other industrial / engineering degrees. 

• Experience in full life-cycle and evolution of complex data science applications including Agile Project management processes 

• Evidence of the ability for the following consulting skills/experience: 

• Maintaining and executing practice roadmaps in alignment with functional partners and business partners at multi-year annual and quarterly timescales. 

• Maintaining 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. 

• Devising and operating an effective communication plan with key stakeholders. 

• Demonstrated thought leadership through proposals white papers architectural inputs and planning for current and future state needs. 

• Performance of requirements discovery determining feasibility of various approaches devising experimental approaches to test assumptions and devise solutions which incorporate non-functional requirements such as scalability interpretability and maintainability. 

• Driving multiple key internal initiatives for cross-functional initiatives. 

• Experience in mentoring and leading mid-career and junior resources through full-lifecycle delivery of data science applications. 

• Self-learner able to quickly become effective in new tools concepts and academic findings relevant to team/stakeholder needs. 

Preferred: 

• Experience in Manufacturing and Science/technology tech transfer of pharmaceutical products into full scale commercialization in a large pharmaceutical environment including GxP systems and processes. 

• Experience in technology transfer and innovation practices through consulting experience or through corporate roles supporting these practices. 

• Experience in MLOps/SLC in Pharmaceutical operations. 

• Experience in a strategy or boutique consulting position with direct stakeholder interaction. 

Additional Information :

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: 

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location and we may ultimately pay more or less than the posted range. This range may be modified in the future.

• We offer a comprehensive package of benefits including paid time off (vacation holidays sick) medical/dental/vision insurance and 401(k) to eligible employees.

• This job is eligible to participate in our short-term incentive programs. 

• This job is eligible to participate in our long-term incentive programs

Note: No amount of pay is considered to be wages or compensation until such amount is earned vested and determinable. The amount and availability of any bonus commission incentive benefits or any other form of compensation and benefits that are allocable to a particular employee remains in the Companys sole and absolute discretion unless and until paid and may be modified at the Companys sole and absolute discretion consistent with applicable law. 

AbbVie is an equal opportunity employer and is committed to operating with integrity driving innovation transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

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Work :

No

Employment Type :

Full-time