Data Scientist (R5-R7)

Employment Type: Full-time Location Type: Part-time telecommuting permitted Location: Indianapolis, IN

Position Overview

Eli Lilly and Company seeks a Data Scientist to provide data analytics, statistics, and machine learning support for healthcare provider (HCP) sales and marketing operations. This role involves leveraging artificial intelligence and machine learning (AI/ML) techniques to develop analytics solutions and inform business strategy. The Data Scientist will develop data modeling capabilities to provide insights on marketing mix, attribution, channel and spend optimization, and prescriptive analytics. Responsibilities include building model pipelines, integrating results into business outcomes, scaling current data pipelines, and increasing the automation of AI/ML deliverables. Ensuring alignment of AI/ML techniques with stakeholder objectives and goals is crucial.

Requirements

• Education: Ph.D. in Statistics, Computational Finance, Economics, Mathematics, Computer Science, or a related quantitative field.
• Experience: 2 years of academic or employment experience leveraging statistics and machine learning techniques to inform business strategy.
• Technical Skills:
  • 2 years of experience with frameworks for developing machine learning models.
  • 2 years of experience with tree-based machine learning models (including XGBoost and LGBM) 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 translating business needs and questions into analytics problems.
  • 1 year of experience managing and processing large data sets, including data cleaning, augmentation, and annotation.

Responsibilities

• Provide data analytics, statistics, and machine learning support for HCP sales and marketing operations.
• Develop analytics solutions using AI/ML techniques to inform business strategy.
• Build data modeling capabilities for insights on marketing mix, attribution, channel and spend optimization, and prescriptive analytics.
• Construct model pipelines and integrate results into business outcomes.
• Scale existing data pipelines and automate AI/ML deliverables.
• Ensure AI/ML techniques align with stakeholder objectives and goals.

Application Instructions

To apply, please visit https://jobsearch.lilly.com/ and enter job requisition number R-88232.

Alternatively, please send your resume, cover letter, and a copy of the ad to: Matthew Tenaglio Lilly Corporate Center Indianapolis, IN 46285

Company Information

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 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.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.

Note: Actual compensation will depend on a candidate’s education, experience, and skill.