Scientist - Sales Data

at  Lilly

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.

COME HELP US HARNESS THE POWER OF DATA!

The Sales Data Intelligence team is actively looking for an experienced Data Scientist. Are you enthusiastic about using data and technology to answer business and scientific questions? If so, bring your skills and talents to Lilly, where you can impact patients’ lives.

BASIC QUALIFICATIONS:

• Master’s in Computer Science, Data Science, Statistics, mathematics, or quantitative related field OR Bachelor’s in computer science/computer engineering data science, Statistics, mathematics, or quantitative related field with at least 2 years of related working experience
• Experience with machine learning algorithms and statistical analysis. Knowledge of algorithms, principles, and tools used
• Proficiency with one or more relevant programming languages such as R, Python, or SQL

PREFERRED QUALIFICATIONS:

• Experience in AWS or Azure
• Experience in Data Bricks
• Experience in risk-score modeling, time series modeling, trend analysis, sales forecasting, customer segmentation, impact assessment, attribution analytics, collaborative filtering, marketing mix modeling, and recommendation engines.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy)
• Experience with database management, SQL, and NoSQL databases.
• Understanding of machine learning algorithms (supervised and unsupervised learning, neural networks, decision trees, logistic regression, etc.) and deep learning frameworks (such as TensorFlow and PyTorch).
• Experience with end-to-end model deployment.
• Experience with Agile Development, CI/CD, Jenkins, Github, and Automation platforms.
• Knowledgeable in data functions such as Data Governance, Master Data Management, and Business Intelligence.
• Demonstrated ability to analyze large, complex data domains and craft practical solutions for subsequent data exploitation via analytics.
• Demonstrated ability to communicate with a geographically dispersed group of business and technical colleagues
• CDMP Certification
• AWS Solution Architect
• Previous healthcare experience
• Position based in Indianapolis, Indiana, with a hybrid work model

As a Data Scientist based in Indianapolis, IN, you will analyze complex data sets, develop predictive and anomaly detection models, and identify insights to drive business decisions. You will work closely with cross-functional teams in the sales space to understand business problems, develop hypotheses, and evaluate those hypotheses with data.