Data Scientist, Analytics At Scale

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 35,000 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, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.

Main Attributes

• Strong analytical skills
• Attention to detail
• Problem-solving skills
• Excellent communication skills

What You'll Be Doing

As a Data Scientist, you will be responsible for analyzing complex data sets, developing predictive models, and identifying insights that can be used to drive business decisions. You will work closely with cross-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data.

How You'll Succeed

• Manage and prioritize multiple projects simultaneously
• Develop and implement machine learning algorithms to analyze large data sets
• Communicate insights and recommendations to technical and non-technical stakeholders
• Conduct research to identify emerging trends and technologies
• Collaborate with stakeholders to understand business problems and provide data-driven solutions

Key Responsibilities

• Ensure data quality and accuracy
• Stay up-to-date with emerging trends and technologies in data science
• Communicate insights and recommendations to stakeholders
• Collaborate with cross-functional teams
• Develop and implement predictive models

What You Should Bring

• Excellent communication and presentation skills
• Proficiency in programming languages such as Python or R
• Familiarity with data visualization tools such as Tableau or Power BI
• Experience with machine learning algorithms and statistical modeling
• Ability to work in a fast-paced, collaborative environment
• Strong problem-solving and analytical skills

Your Basic Qualifications

• Proficiency in programming languages such as Python or R
• Master’s or PhD degree in a relevant field such as computer science, mathematics, statistics, or engineering
• 2+ years of experience in a data science role
• Experience with machine learning algorithms and statistical modeling

Preferred Qualifications

• Strong problem-solving and analytical skills
• Ability to work with diverse data sources and data types
• Experience with data engineering and data pipeline development
• Strong leadership and project management skills.
• Knowledge of natural language processing (NLP) and text analytics
• Experience with deep learning algorithms and neural networks
• PhD in a relevant field
• Familiarity with cloud computing platforms such as AWS or Azure
• Experience with big data technologies such as Hadoop, Spark, or Hive

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 ( [email protected] ) 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.

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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