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.

Job Responsibilities

• Lead and mentor a team of data scientists to deliver impactful analytics solutions.
• Develop and implement the organization's strategic vision for data science and AI, aligning with business goals.
• Collaborate with executives and leaders to address key business challenges using data science.
• Drive the creation and implementation of advanced machine learning and AI models to solve complex problems.
• Ensure best practices in model development, validation, and deployment.
• Stay updated on emerging trends and suggest innovative solutions.
• Work with data engineering and IT teams to ensure data availability, scalability, and accessibility.
• Oversee the optimization of data pipelines and workflows for large-scale analysis.
• Integrate data science insights into business processes across various departments.
• Provide strategic guidance on data insights to inform business decisions.
• Present analytical insights and recommendations to senior executives clearly and concisely.
• Lead reporting and performance tracking for data science initiatives, including KPIs and impact assessments.
• Hire and manage a growing team to meet program timelines.
• Help data scientists communicate complex information to a cross-functional audience.

Basic Requirements 

• PhD with 5+ years of industry experience or BS/MS with 15+ years of related experience.

Additional Preferences

• Proven track record of successfully leading large-scale data science and AI initiatives across various business functions.
• Strong experience with machine learning algorithms, statistical modeling, and predictive analytics. 
• Deep understanding of data engineering and data infrastructure, with a strong ability to collaborate with technical teams to build scalable solutions.
• Expertise in programming languages such as Python, R, SQL, and familiarity with big data technologies like Hadoop, Spark, and cloud platforms (e.g., AWS, GCP, Azure).
• Exceptional problem-solving and analytical thinking.
• Strong leadership, team-building, and mentoring skills.
• Excellent communication skills, with the ability to translate complex technical concepts into clear business strategies.
• Strong project management skills, with experience leading cross-functional teams and driving initiatives from concept to execution.

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 (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

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.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location.  The anticipated wage for this position is

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

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