Data Scientist

3 weeks ago

Indianapolis, Indiana, United States Eli Lilly and Company Full time

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.

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.

Main Attributes:

Strong analytical skills Problem-solving skills Excellent communication skills Attention to detail What You'll Be Doing: As a Data Scientist in Indianapolis, IN 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 across the enterprise to understand business problems, develop hypotheses, and test those hypotheses with data. How You'll Succeed: 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 Responsibilities: Solve complex business problems with advanced analytics and AI/ML methods 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 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 related working experience. Experience with machine learning algorithms and statistical modeling Proficiency in programming languages such as Python or R Additional Preferences: Experience with machine learning algorithms and statistical modeling Proficiency in programming languages such as Python or R Excellent communication and presentation skills Strong problem-solving and analytical skills Ability to work with diverse data sources and data types Familiarity with data visualization Ability to work in a fast-paced, collaborative environment 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 Other Considerations: This position is based in Indianapolis, IN Hybrid work schedule 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 ( ) 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. #WeAreLilly

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