Data Scientist, Decision Analytics & Optimization

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 35,000 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.

Organization Overview:

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.

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 on 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!

What You Will Be Doing:

• Leading the research & development of new methods, determining the best applications and encouraging adoption. This is a hands-on role.
• Solve complex business and healthcare problems with advanced analytics and AI/ML methods, particularly in finance.
• Maintain a broad understanding of questions and fully engage with teams, bringing an objective voice to the table and facilitating decisions grounded in data.
• Collaborate with other analytics team members to review and provide feedback on the analytics work being done and be willing to seek feedback from other team members about your own work.
• Stay current with respect to behavioral sciences and simulation, machine learning and other analytics methodologies to maintain proficiency in applying new and varied methods and to be competent in justifying the methods selected.

Your Basic Requirements:

• Masters in Applied Mathematics, Statistics, Operations Research, Physics, Computer Science, Engineering or quantitative related field OR
• Bachelor's in Statistics, Operations Research, Physics, Computer Science, Engineering or quantitative related field with five years of hands-on data science experience
• Proficiency in programming languages such as R or Python

Additional Skills/Preferences:

• Strong written and verbal communication skills
• Experience with Advanced Analytics and AI/ML in cloud environments (e.g. AWS)
• Have experience with finance, commercial, and ethics applications, simulation, and/or modeling complex systems.
• Have research experience in agent-based modeling and emergent behavior.
• Understanding of the scientific theory behind machine learning techniques.
• Understanding of practical concerns that need to be addressed when applying machine learning and simulation techniques in healthcare.
• Proven experience producing computationally efficient software to meet real-time requirements.
• Demonstrable experience in building, programming, and integrating algorithms into production systems.
• Identify opportunities for process improvements and automation to improve patients experience

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 ( [email protected] ) 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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