Lilly Consultant - Advanced Analytics Architect in United States
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.
Advanced Analytics at Scale group focuses on enabling rapid advanced analytics solutions development and deployment for key AADS analytic capabilities across the company. This group connects the investments in enterprise data and analytics environments with IDS business areas that develop and deploy applications that embed advanced analytics at their core. Their mission is to expand Lilly’s capabilities to scale the development/training of advanced analytic and machine learning algorithms and ensure they can be embedded and maintained in production systems to achieve business value. For production advanced analytics solutions, there are specialized requirements to ensure quality, provide data monitoring, pipeline maintenance, and retraining of algorithms when needed to ensure that advanced analytics solutions continue to provide value in a changing environment.
This role drives the development of the initiatives to scale advanced analytic capabilities. Through internal and external resources, this involves:
Translating advanced analytics requirements to implementation
Work with advance analytic practitioners to identify needs and ensure scalable solutions
Plan and design advanced analytic pipelines to deliver at scale
Deliver on rigorous design and sound architecture
Provide guidance on data and computing technology
Maintain expertise on best practices and tools for deployment and delivery of advanced analytics deployment at scale
Integrate analytics platforms and tools on the Enterprise Data Platform (EDP)
Drive adoption cloud based AWS solutions and MLOps
Optimizing analytics pipelines and products
Provide guidance on data engineering practices to ensure rigorous data delivery
ML / AI software and product design and architecture design
Enabling modular analytics and scalable processing
Maintain, plug-in, and operate algorithms on the EDP
Develop configurable data pipelines which can be leveraged for further insights
Scalability, usability, and performance tuning
Bachelor’s Degree in Computer Science, Mathematics, Statistics, or closely related field
At least 5 years experience in high performance computing and data or AI/ML pipeline development
A minimum of two years experience with GitHub or similar version control systems
Experience with DevOps or Agile development
At least 2 years experience working with cloud based machine learning technologies
Experience driving projects and collaboration with external vendors to deliver on products
Previous experience with AWS data pipelines and analytics infrastructure
Proficient in high performance computing
Demonstrated examples of developing data/ML pipelines
Full Time Employee
Lilly Corporate Center
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.
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. If you would like to request an accommodation for medical or religious reasons, you may do so at firstname.lastname@example.org.
At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people. We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe!