At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.

How You Will Succeed:

As a Data Scientist, you will be responsible for analyzing complex data sets, developing predictive models, leveraging generative AI, and identifying insights that can be used to drive business decisions. You will work closely with cross-functional teams in the manufacturing and supply chain space to understand business problems, develop hypotheses, and test those hypotheses with data.

Develop and implement machine learning algorithms to analyze large data sets 

• Collaborate with stakeholders to understand business problems and provide data-driven solutions 

• Communicate insights and recommendations to technical and non-technical stakeholders 

• Conduct research to identify emerging trends and technologies

• Manage and prioritize multiple projects simultaneously 

• Solve complex business problems with advanced analytics and AI/ML methods, particularly in application areas such as manufacturing, supply chain, and anomaly detection

• Develop and implement predictive models 

• Communicate insights and recommendations to stakeholders 

• Collaborate with cross-functional teams 

• Stay up-to-date with emerging trends and technologies in data science 

• Ensure data quality and accuracy 

   

Your Basic Requirements:

• Ph.D. in Computer Science, Applied Mathematics focusing on Numerical Analysis, High Performance Computing, Operations Research, Physics, Engineering or quantitative related field 

• OR Master in Computer Science/Computer Engineering or related field with at least 4 years post graduate related working experience.

• Experience with machine learning algorithms and statistical modeling 

• Proficiency in programming languages such as Python or R 

   

*What You Should Bring: *

• Proficiency in programming languages such as Python or R

• Experience with machine learning algorithms and statistical modeling 

• Familiarity with data visualization

• Strong problem-solving and analytical skills 

• Excellent communication and presentation skills 

• Ability to work in a fast-paced, collaborative environment  

• Strong problem-solving and analytical skills

• Ability to work with diverse data sources and data types 

• Experience with manufacturing applications, supply chain, and anomaly detection

• PhD in a relevant field 

• Experience with deep learning algorithms and reinforcement learning 

• Familiarity with cloud computing platforms such as AWS or Azure 

• Knowledge of generative AI applications 

• Experience with data engineering and data pipeline development 

• Strong leadership and project management skills

• Attention to detail

Other Considerations:

• This position is based in Indianapolis, IN

• Hybrid work schedule

About the Organization:

Our Advanced Analytics and Data Sciences organization is growing to support the entire Lilly enterprise, from Discovery to Development to Manufacturing and Commercialization of our medicines. To solve the complex problems of a global business and the ever-evolving data and analytics landscape, the organization generally requires advanced degrees in statistics, mathematics, econometrics, operations research and computer science. We are playing a leading role in transforming the way the company discovers and develops new treatments, identifies personalized treatment regimens, drives efficiency in our operations and optimizes our commercialization of new products. We are doing this with an emphasis in the areas of machine learning and artificial intelligence, natural language processing and other approaches to unstructured data, advanced mathematical and predictive modeling, visual analytics and more. Whether you are intrigued by the research and development of new medicines or optimizing our commercialization/business, or driving efficiency into our operations, we have a position for you. You will be encouraged to identify important business problems and to further your own research interests in these areas including presentations and publications at professional meetings.

Come join us on our amazing journey to make life better!

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( LillyRecruitingCompliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.

Lilly is an EEO/Affirmative Action Employer and 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.

Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups.

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