Data Scientist - IBU BI&A

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.

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.

Responsibilities:

·       Be the global BI&A lead for advanced analytics for IBU countries (including but not limited to Hungary, France, Germany, Italy, UAE, Australia, Japan, China, Canada, Mexico, Brazil, etc)

·       Partner with the BI&A and IBU business/research teams to identify, scope, and execute analytics efforts that answer business/scientific questions, solve business/scientific needs, and add value

·       Maintain a broad understanding of the pharmaceutical business and be fully engaged with the business/research team, bringing an objective voice to the table, and facilitating decisions grounded in data and solutions

·       Collaborate with other analytics team members to review and provide feedback on the analytics being done, and be willing to seek feedback from other team members about your own work

·       Stay current with respect to statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected

·       Collaborate with others to design, implement, and develop enterprise-level marketing analytics capabilities, including data engineering, technology platforms, algorithms, and change management.

·       Evaluate and benchmark the performance of different analytical approaches and provide guidance on metrics and best practices.

·       Perform cutting edge research in an area of data science, marketing analytics, or decision analytics.

Basic Requirements:

·       Master’s with 3+ years of relevant experience or PhD in Statistics, Econometrics, Data Science, Analytics, Operations Research, Computer Science, Engineering, Mathematics, or similar. PhD preferred.

·       Deep and broad knowledge of machine learning methods including structured and unstructured techniques

·       Proficiency with relevant programming languages (such as R, Python, SQL, Java, C++, etc...)

Additional Skills/Preferences:

·       Agility and flexibility to work with very diverse problems and business partners 

·       Ability to work with diverse data sources and data types

·       Self-management skills with a focus on results for timely and accurate completion of competing deliverables

·       Strong leadership and communication skills

·       Publications in leading journals or conferences

·       Knowledge of life science data sets from IQVIA, Symphony/ICON, Komodo, Veeva, and others

·       Experience with decision science frameworks

·       Experience in developing and deploying machine learning models on cloud platform such as AWS etc.

For internal employees, if you are currently in a technical path role, but outside of the posting band, you may apply. You will be hired at your current level. For example: Current P4 (tech ladder), Posting R1-2 tech ladder, hire will occur at P4

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly 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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