Data Scientist (R5-R6) Full-time

Data Scientist (R5-R6)

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.

Lilly USA, LLC seeks a Data Scientist (R5-R6) to provide data analytics, statistics, and machine learning support for consumer sales and marketing operations. Leverage artificial intelligence and machine learning (AI/ML) techniques to develop analytics solutions and inform business strategy. Develop data modeling capabilities to provide insights on marketing mix, customer segmentation and personas, attribution, channel and spend optimization, and prescriptive analytics. Build model pipelines and integrate results into dashboards and business outcomes. Scale current data pipelines and increase automation of AI/ML deliverables. Ensure alignment of AI/ML techniques with stakeholder objectives and goals.

Position requires a Ph.D. in Statistics, Engineering, Computational Finance, Economics, Mathematics, Computer Science, or a related quantitative field, and 2 years of academic or employment experience with leveraging statistics and machine learning techniques to inform business strategy. Academic or employment experience must include a minimum of: 2 years of experience with frameworks for developing machine learning models; 1-2 years of experience with tree-based machine learning models (including XGBoost and LGMB) and deep neural networks (including convolutional neural networks and recurrent neural networks); 2 years of experience with technical collaboration tools, including GitHub; 2 years of experience with programming languages, including R and Python; 1 year of experience with translating business needs and questions into analytics problems; and 1 year of experience with managing and processing large data sets, including data cleaning, augmentation, and annotation. Part-time telecommuting permitted.

Job Location: Indianapolis, IN

Rate of Pay: $173,644.00

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form for further assistance. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

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