Data Scientist Advanced Analytics

Role Overview: At Lilly, we are looking for a highly skilled Data Scientist with 7-8 years of experience or an advanced degree (Masters/Ph.D.) in Statistics, Machine Learning, or Data Science. The ideal candidate should be passionate about solving complex business challenges in manufacturing and supply chain domains through advanced analytics. This role requires expertise in statistical modelling, machine learning, time-series analysis, and simulation techniques, along with the ability to manage large datasets and derive actionable insights. Proficiency in Python/R programming and familiarity with optimization techniques are essential. The candidate must be able to translate business problems into technical solutions, communicate effectively with stakeholders, and adapt to evolving business needs while simplifying technical concepts for non-technical audiences. Key Responsibilities: - Design and develop advanced analytics solutions using statistics, machine learning, data science, and optimization methods for solving various problems such as anomaly detection, time series forecasting, root cause analysis, and predictive maintenance. - Apply data visualization techniques for effective storytelling through data and share insights with business leaders. - Conduct exploratory data analysis and feature engineering on structured, semi-structured, and unstructured data. - Integrate and manage diverse datasets ensuring robustness for high-dimensional, imbalanced, and noisy data. - Develop scalable solutions for real-time inference, batch processing, and edge computing using modern deployment tools. - Lead end-to-end model lifecycle including development, deployment, monitoring, and performance optimization. - Stay updated with emerging AI/ML research and implement practical innovations. - Collaborate with cross-functional teams as a trusted advisor and ensure best practices in version control and CI/CD workflows. Qualification Required: - B.Tech./Masters/Ph.D. in statistics, Machine Learning, Data Science, or a related field. Additional Details: Lilly has pioneered the development of significant drugs and treatments over the years with a strong pipeline. The company's focus on using new-gen technologies helps redefine what is possible through technology in pharma. Lilly encourages a commitment to making a real difference in lives and provides a platform for the best talent to innovate and accelerate together. Employees at Lilly are dedicated to making a significant difference in the well-being of people worldwide.,