Associate/Senior Associate Consultant - Omnichannel MLOps

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.

Core Responsibilities:

As part of this team, we are looking for experienced analysts who will use variety of data (including customer 360, market and product sales, prior channel activity and affinities etc.) to maintain, update, assess and fine tune the performance of the underlying machine learning algorithms that drive personalized recommendations for all key brands for Lilly in the US.

• Maintain stable and scalable solutions to extract data from diverse systems, cleanse and transform extremely large data sets into actionable business information
• Writing and tuning complex SQL queries in a highly dynamic environment
• Utilize knowledge of ML techniques (esp. Neural networks and Genetic Algorithms) to ensure that models are updated that models being used for the recommendation engine are to some extent “explainable”
• Use knowledge of therapeutic area, market events, customer universe and available activity and affinity data, along with guidance from the Advanced Analytics and Data Science team (AADS) to implement alternate advanced analytical and statistical techniques as and when needed to test and validate models embedded in the personalization platform.
• Technical skills:
  • 2+ years of in-depth hands-on experience with handling pharma data, including but not limited to, market basket and sales data, customer 360 profiling, channel activity data (sales rep calls, email campaigns, etc.)
  • Strong coding experience in R or Python
  • Creative problem solving, organization, attention to detail, flexibility and adaptability
  • Comfort with ambiguity and a willingness to work with a) operational teams to ensure timely deployment and b) marketing and strategic teams to ensure simplified communication of “black box” ML models
  • Strong understanding, through extensive prior delivery and leadership, of how Big Data platforms and data services fit into AI-driven personalized/omnichannel marketing operations

Behavioral competencies

• Demonstrated ability to meet deadlines while managing multiple large-scale projects in a fast-paced and rapidly changing environment
• Ability to execute and innovate in a highly dynamic environment, including strong prioritization and attention to detail at the program level
• Ability to lead small offshore teams with multiple stakeholders in a large cross-office matrixed team, including vendors
• Excellent communication (written & verbal) skills
• High level of motivation and a strong desire to find creative solutions to challenging situations, with the ability to avoid reinventing the wheel

Preferred Qualifications

• Prior experience using ML techniques to deploy, assess performance and fine tune recommendation engine models (CNN/RNN, GA, XGBoost etc..), esp for pharma/biotech/insurance/other healthcare players in the US
• Familiarity with cloud technology such as AWS and knowledge of AWS tools, esp Sagemaker, Quicksight, Redshift, Glue, Athena; viz tools like Tableau and PowerBI will be a plus.

Education:

Bachelor’s or master’s degree

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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