Data Scientist Product Manager

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 USA Data and Analytics, we are dedicated to using innovative technology to drive innovation and improve patient outcomes. Our team collaborates across various departments to deliver impactful solutions that enhance our digital presence and operational efficiency.  

What You Will Do: 

• Own the development and implementation of AI models and algorithms to solve complex business problems. 

• Collaborate with multi-functional teams to find opportunities for AI-driven improvements. 

• Design, develop, and deploy machine learning models and AI solutions. 

• Analyze and interpret data to provide actionable insights and recommendations. 

• Stay updated with the latest advancements in AI and machine learning technologies. 

• Ensure the scalability and robustness of AI solutions. 

How You Will Succeed: 

• Understanding of the technical, ethical, and user experience challenges and opportunities of generative AI systems and models. 

• Leadership qualities and the ability to make significant, impactful decisions 

• Strong analytical and problem-solving skills. 

• Excellent communication and teamwork abilities. 

• Knowledge of natural language processing (NLP) and computer vision. 

• Familiarity with cloud platforms like AWS, Azure, or Google Cloud. 

Your Basic Requirements: 

• Bachelor's degree in computer science, Data Science, or a related field. 

• 1+ years of experience working with AI systems, preferably generative AI systems 

• 2+ years of product management experience delivering end-to-end products from conceptualization to launch, ideally at a technology company working on ML/AI based products 

• Deep understanding of ML tech stacks for building, deployment, customization, and integration. 

• Proficiency in programming languages such as Python, R, or Java. 

• Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. 

What You Should Bring:

• Master's degree in a relevant STEM field preferred. 

• Experience with AWS, Azure or Databricks

• Experience implementing Machine Learning Operations (ML Ops) frameworks that take models from proof of value to mature and automated.

• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and experience with SQL and NoSQL databases.

• Experience with Agile Development, CI/CD, Jenkins, Github, and Automation platforms.

• Demonstrated ability to analyze large, complex data domains and craft practical solutions for subsequent data exploitation via analytics.  

• Demonstrated ability to communicate with a geographically dispersed group of business and technical colleagues 

Team Values: 

• Innovate: Embrace new ideas and technologies to drive continuous improvement. 

• Accelerate: Work effectively with team members and stakeholders to achieve common goals. 

• Include: Uphold the highest standards of ethical behavior and transparency. 

• Deliver: Strive for excellence in all aspects of your work.

About the Organization:

Lilly IT builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Lilly IT is that we create new possibilities through tech to advance our purpose – creating medicines that make life better for people around the world, like data-driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of our business.

The LillyUSA Tech@Lilly team is at the forefront of leveraging data and technology to launch new medicines to market, raise awareness, and gain access to medication for appropriate patients. With a deep technical and business understanding, working across all therapeutic areas/disease states, we design and implement digital solutions to power our business, creating best-in-class customer engagements that improve patient outcomes and deliver business results.

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 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.

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