AI Data Scientist - Field Analytics en Lilly

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.

Are you passionate about solving real-world business problems with cutting-edge data science?
 

Lilly is seeking a highly skilled and hands-on Data Scientist to join our Field Analytics team in Indianapolis, IN. This role is ideal for someone who thrives in a fast-paced environment, enjoys working across domains, and is excited to deploy models that directly impact field sales effectiveness and patient outcomes.
 

What You’ll Be Doing:

• Build and deploy end-to-end machine learning and AI solutions for sales and marketing analytics.

• Apply statistical modeling, predictive analytics, and optimization techniques to solve complex business challenges.

• Leverage AWS cloud services for scalable data processing and model deployment.

• Use Databricks for collaborative development and advanced analytics workflows.

• Collaborate with cross-functional teams to translate business needs into technical solutions.

• Apply advanced optimization methods (e.g., Branch and Bound, MILP) to problems like territory design, call planning, and resource allocation.

• Develop and maintain production-grade pipelines using CI/CD tools and automation platforms.

• Stay current with emerging trends in generative AI, NLP, and deep learning.

• Design and deliver Generative AI workflows using Large Language Models (LLMs), including steps such as model and architecture selection, vector search implementation, evaluation strategies, and inferencing pipelines.

• Get the opportunity to build industry-first products leveraging cutting-edge research approaches and best practices in AI and machine learning.

How You’ll Succeed:

• Deliver measurable business impact through data-driven insights and model deployment.

• Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

• Manage multiple projects with agility and precision.

• Demonstrate thought leadership in applying AI/ML to commercial use cases.

What You Should Bring:

• Strong foundation in statistics, machine learning, and AI workflows.

• Understanding of AI Agentic platforms and frameworks end-to-end.

• Proven experience deploying models in production environments.

• Deep expertise in Python or R, and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.

• Hands-on experience with AWS (e.g., S3, SageMaker, Lambda, EC2).

• Experience with Databricks (plus).

• Familiarity with optimization techniques including Branch and Bound, TSP, MILP programming. (strong plus).

• Solid understanding of NLP tools and techniques.

• Experience with relation and non-relational databases and data processing.

• Agile development experience with CI/CD tools like Jenkins, GitHub.

Basic Qualifications:

• Master’s degree in computer science, Data Science, Applied Mathematics, or related quantitative field with 2+ years of experience

• OR
  Bachelor’s degree with 4+ years of experience in data science or analytics.

Preferred Qualifications:

• One+ years' of hands-on experience developing and deploying AI/ML models using modern frameworks such as TensorFlow, PyTorch, or Scikit-learn, with demonstrated ability to take models from prototype to production environments

• Experience with agentic AI systems and multi-agent frameworks such as CrewAI, AutoGen, or LangGraph, including building autonomous workflows, agent orchestration, and implementing AI systems capable of task planning and execution with minimal human intervention

• AWS Solution Architect or AI practitioner certification.

• Experience in healthcare or life sciences.

• Familiarity with Gen AI workflows, Databricks, Optimization techniques.

• Strong communication and collaboration skills across geographically dispersed teams.

About the Organization:

Lilly IT is a catalyst for innovation, using technology to transform how we discover, develop, and deliver medicines. Tech at Lilly USA is at the forefront of commercial analytics, driving digital transformation across therapeutic areas to improve patient outcomes and business performance.

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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