Data Scientist Technical Services & Manufacturing Sciences

Job Description

Role Overview:As a Data Scientist in Technical Services Manufacturing Sciences (TSMS) at Lilly, you will be responsible for delivering advanced analytics, predictive modeling, and digital innovation to support manufacturing and development processes across pharmaceutical operations. Your role will involve enabling data-driven decision-making process optimization, and compliance by collaborating with global teams, site SMEs, and IT digital functions.Key Responsibilities:- Build, validate, and maintain multivariate statistical models (e.g., PCA, PLS) for real-time process monitoring.- Lead the development and deployment of predictive models and multivariate analytics for process monitoring, anomaly detection, and performance optimization.- Collaborate with cross-functional teams in manufacturing, R&D, quality, and IT to design and implement data-driven solutions.- Work with Information Technology teams at Lilly to deliver secure, scalable analytics products, dashboards, data products, model services, and manage project interdependencies.- Support the integration and harmonization of data across PLM, MES, LIMS, ERP, and analytics platforms.- Ensure data quality, integrity, and compliance with GMP and regulatory standards.- Facilitate knowledge transfer, training, and adoption of analytics solutions across global teams.- Track and report analytics project progress, risks, and outcomes to leadership and stakeholders.- Partner with technical teams to resolve data gaps, inconsistencies, and support validation activities.- Leverage data visualization and reporting tools such as Power BI, Tableau, and Seeq for actionable insights.- Identify and implement process improvements and automation opportunities for digital transformation.- Maintain documentation, best practices, and knowledge repositories for analytics solutions.- Monitor adoption KPIs, gather user feedback, and drive continuous improvement in analytics capabilities.Qualifications Required:- Proficient in statistical modeling, machine learning, coding languages, and predictive analytics (Python, R, SIMCA, JMP).- Experienced in data integration, data quality assurance, and digital solution delivery.- Skilled in data visualization and reporting (Power BI, Tableau, Smartsheet).- Knowledgeable in GMP data integrity and regulatory compliance.- Experience working in Pharmaceutical manufacturing, Research & Development, or similar scientific environments.- Strong problem-solving, analytical, and detail-oriented mindset.- Effective communicator with experience working in global cross-functional teams.- Ability to communicate complex insights to both technical and non-technical stakeholders.- Change-oriented and proactive in driving digital transformation.- Practical problem-solver who can work independently and within cross-functional teams, skilled at stakeholder management and communication.- Familiarity with cloud analytics (Azure, AWS), data pipelines, and APIs; experience with NLP for unstructured manufacturing knowledge is a plus.Additional Information:- 10 - 20% travel may be required.- Some off-shift work (night, weekend) may be required to support 24/7 operations across the global supplier network.- Lilly is dedicated to ensuring equal opportunities for individuals with disabilities in the workforce.- Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability, or any other legally protected status. Role Overview:As a Data Scientist in Technical Services Manufacturing Sciences (TSMS) at Lilly, you will be responsible for delivering advanced analytics, predictive modeling, and digital innovation to support manufacturing and development processes across pharmaceutical operations. Your role will involve enabling data-driven decision-making process optimization, and compliance by collaborating with global teams, site SMEs, and IT digital functions.Key Responsibilities:- Build, validate, and maintain multivariate statistical models (e.g., PCA, PLS) for real-time process monitoring.- Lead the development and deployment of predictive models and multivariate analytics for process monitoring, anomaly detection, and performance optimization.- Collaborate with cross-functional teams in manufacturing, R&D, quality, and IT to design and implement data-driven solutions.- Work with Information Technology teams at Lilly to deliver secure, scalable analytics products, dashboards, data products, model services, and manage project interdependencies.- Support the integration and harmonization of data across PLM, MES, LIMS, ERP, and analytics platforms.- Ensure data quality, integrity, and compliance with GMP and regulatory standards.- Facilitate knowledge transfer, training, and adoption of analytics solutions across global teams.- Track and report analytics project progress, risks, and outcomes to lead

Keyskills :
statistical modelingmachine learningcoding languagespredictive analyticsPythonJMPdata integrationdata quality assurancedata visualizationPower BITableauregulatory compliancecommunication skillsNLPSIMCAGMP data integrityproblemsolvingana