Generative AI – Proactive, Predictive, Powerful!
Are you passionate about using data and technology to answer business and scientific questions? If so, bring YOUR skills and talents to Lilly where you’ll have the chance to create an impact on the lives of patients.
What You'll Be Doing:
As a GenAI Data Scientist, you will implement generative AI models, and identifying insights that can be used to drive business decisions. You will work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data.
How You’ll Succeed:
- Develop and implement enterprise-level GenAI models and tools to solve business problems.
- Collaborate with customers to identify business problems and provide data-driven solutions.
- Communicate insights and recommendations to technical and non-technical customers.
- Conduct research to identify emerging trends and technologies in Gen AI and other areas of data science.
- Run and prioritize multiple projects simultaneously.
- Ensure data quality and accuracy.
What You Should Bring:
- Experience working with cloud based platforms (example: AWS, Azure or related)
- Strong problem-solving and analytical skills
- Proficiency in handling various data formats and sources
- Prior statistical modeling experience
- Demonstrable experience with deep learning algorithms and neural networks
- Experience with data engineering and data pipeline development
- Proven leadership and project management skills.
- Superb communication and presentation skills
- Ability to work in a fast-paced, collaborative environment
Your Basic Qualifications:
- PhD in computer science, information science, mathematics, statistics, engineering, or related field
- OR Master's in computer science, information science, mathematics, statistics, engineering, or related field with 2+ years of experience post education in a NLP/GenAI role
- Experience with machine learning and GenAI algorithms such as large language models
- Prior experience working with Python or other programming languages
Additional Information:
- Position located in Indianapolis, Indiana working in a hybrid model.
- Up to 10% travel may be required depending on project
Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. 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.
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This position is listed as full time and hybrid.