Description

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.

Path/Level:

R5-R6

Position Overview:

The Statistician/Data Scientist is responsible for building and deploying advanced analytics solutions to support Lilly’s sales and marketing teams.

The Statistician/Data Scientist will be part of a growing and dynamic team of business analysts, statisticians, and data/ML engineers using data and analytics to help Lilly patients. The position will leverage their deep understanding of statistics, data science, and AI/ML to build advanced models and innovative analytics solutions. The position will partner and collaborate across a wide group of cross functional partners to identify and translate business problems into analytics solutions. This analytics professional will be responsible for developing data-driven insights and ensuring business decisions are supported by analytics.

The position will report to the Sr. Director - Business Insights & Analytics (BI&A) HCP Data Science.

Key Objectives:
• Drive impact for Lilly sales and marketing using statistics and AI/ML models.
• Translate business needs and questions into analytics problems. Identify the appropriate methodology to solve business problems, such as designed experiments, causal inference, time series forecasting, predictive analytics, etc.
• Be a thought leader in statistics and AI/ML for sales and marketing, including developing expertise and consulting in a specific analytics domain.
• Collaborate closely with technical and non-technical partners across Lilly. Work effectively across a global team of data scientists, data engineers, and ML engineers to build scalable modeling pipelines.
• Stay current with latest statistics, data science, and AI/ML methodologies for use in sales and marketing analytics.

Position Requirements (Transferable Skills):
• PhD in Statistics, Economics, Computational Finance, Mathematics, or equivalent quant degree preferred, or master’s with 3+ years post-degree of hands-on analytics experience.
• Experience with a variety of statistical concepts and AI/ML models, such as experimental design, causal inference, classification, forecasting, and predictive modeling.
• Ability to think strategically and work independently in a dynamic and ambiguous environment.
• Proficiency with at least one programming languages (R and/or Python preferred).
• Experience using Github or other tools for technical collaboration.
• Ability to work across teams and build Team Lilly culture.

Additional Preferences:
• Prior experience using statistics and machine learning techniques to solve real-world business problems. Experience driving impact and adoption of analytics solutions.
• Strong communication skills with both technical and non-technical stakeholders.
• Experience with healthcare data is a plus.
• High level of motivation and a strong desire to find creative solutions to challenging situations.

Note: When applying internally for a position your current supervisor receives notification that you have applied to the position. We encourage employees to discuss the opportunity with their supervisor prior to applying.

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.

Qualified candidates must be legally authorized to be employed in the United States. Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for employment positions on the B or S paths or at levels M1-M2 or P1-P4.

#WeAreLilly

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.

#WeAreLilly

Responsibilities

• The Statistician/Data Scientist is responsible for building and deploying advanced analytics solutions to support Lilly’s sales and marketing teams
• The Statistician/Data Scientist will be part of a growing and dynamic team of business analysts, statisticians, and data/ML engineers using data and analytics to help Lilly patients
• The position will leverage their deep understanding of statistics, data science, and AI/ML to build advanced models and innovative analytics solutions
• The position will partner and collaborate across a wide group of cross functional partners to identify and translate business problems into analytics solutions
• This analytics professional will be responsible for developing data-driven insights and ensuring business decisions are supported by analytics
• The position will report to the Sr
• Drive impact for Lilly sales and marketing using statistics and AI/ML models
• Translate business needs and questions into analytics problems
• Identify the appropriate methodology to solve business problems, such as designed experiments, causal inference, time series forecasting, predictive analytics, etc
• Be a thought leader in statistics and AI/ML for sales and marketing, including developing expertise and consulting in a specific analytics domain
• Collaborate closely with technical and non-technical partners across Lilly
• Work effectively across a global team of data scientists, data engineers, and ML engineers to build scalable modeling pipelines
• Stay current with latest statistics, data science, and AI/ML methodologies for use in sales and marketing analytics

Qualifications

• Experience with a variety of statistical concepts and AI/ML models, such as experimental design, causal inference, classification, forecasting, and predictive modeling
• Ability to think strategically and work independently in a dynamic and ambiguous environment
• Experience using Github or other tools for technical collaboration
• Ability to work across teams and build Team Lilly culture
• Prior experience using statistics and machine learning techniques to solve real-world business problems
• Experience driving impact and adoption of analytics solutions
• Strong communication skills with both technical and non-technical stakeholders
• High level of motivation and a strong desire to find creative solutions to challenging situations
• Qualified candidates must be legally authorized to be employed in the United States