Data Scientist - US Consumer Analytics

Key Skills

Algorithms, Effective communication skills, Machine learning techniques, Neural Networks, Python Programming, R Programming, Statistics

Job 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 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.

Position Overview:

The AI / ML director is responsible for technical contributions and consulting in the fields of machine learning, information retrieval, and artificial intelligence for optimization of Lilly consumer marketing

Key Objectives:

• Be a leader in data and statistical analysis with the objective of driving KPIs for the business.
• Build out modeling ecosystem to answer a variety of consumer marketing questions, such as marketing mix, attribution, channel optimization, spend optimization and causal impact.
• Promote and plan designed variance (prospective designed experiments, A/B tests, natural or business case variance) to test marketing impact and value.
• Effectively answer data science questions, build ML pipelines, and integrate results into business outcomes.
• Collaborate with media partners to expand the use of analytics within consumer marketing execution.
• Empower business collaborators with analysis by integrating modeling into automated dashboards, scenario planning tools, and exploratory data analysis environments.
• Stay current with latest AI/ML methodologies for use in consumer marketing analytics.
• Partner closely with Media Marketing Science team, Media Ops, NGCE & Brand teams to drive unified approach to activation and enablement insight utilization.
• Work with a global group of data scientists and engineers.
• Position Requirements (Transferable Skills):

• Masters or PhD in Statistics, Business Administration (with a specific focus on data science), Finance, Marketing, Economics, Mathematics, Computer Science or equivalent level degree.
• 2+ years full-time hands-on software engineering and hands-on machine learning experience with Masters Degree or computational and modeling skills with PhD.
• Preferences

• Ability to use AI / ML techniques to solve real-world business problems. Some examples would be appropriate use of gradient boosting algorithms, [recurrent] neural networks, forecasting methods, and advanced data pipeline development.
• Proficiency with relevant programming languages (R and/or Python)
• Strong analytical skills coupled with business acumen, and an ability to think strategically in an ambiguous environment
• Experience with healthcare data is a plus.
• Excellent communication (written & verbal), interpersonal influencing skills and prioritization skills with attention to detail
• Ability to translate technical work for business partners.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.

As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company (subject to applicable law).

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 ( Lilly_Recruiting_Compliance@lists.lilly.com ) 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.