Data Scientist Job in Bangalore at Eli Lilly & Company

Eli Lilly & Company is hiring for the role of Data Scientist!

Responsibilities of the Candidate:

• Use Applied statistics, Machine Learning, and Deep learning techniques and build models to answer business questions at the intersection of the pharmaceutical and digital marketing spaces to provide value to marketing and media teams.
• Use statistical and machine learning techniques to analyze customer data within the CDP.
• Implement predictive models to make real-time decisions with the CDP.
• Build and maintain deep knowledge of the continuously evolving digital marketing landscape.
• Continuous learning and experimenting new with possibilities for consumer marketing analytics.
• Collaborate with cross-functional teams and external consultants to help review or translate this work to other team members.
• Stay current with respect to statistical/mathematical modeling methodology, maintain proficiency in applying new and varied methods, and be competent in justifying methods selected.

Requirements:

• Demonstrated in-depth hands-on experience in building models using statistical (Regression, Clustering, Causal Inference, Time series Analysis), ML modeling techniques (Gradient boosting trees, Support Vector Machine, KNN), and Deep Learning (RNNs, LSTM, Transfer learning-based object detection, NLP).
• Proven experience working with Customer Data Platforms (CDP) Data Management Platforms (DMP) or CRM tools is preferred.
• Strong prior experience in data science projects from start to finish (including ideation, data exploration, modeling for prediction AND inference, and results generation).
• Highly Proficient in R and Python and Either one of the deep learning frameworks Keras/PyTorch.
• Good to have - Ability to write basic SQL.
• Creative problem-solving, attention to detail, flexibility, and adaptability.
• Comfort with ambiguity and a willingness to work with a high degree of autonomy.
• Demonstrated ability to meet deadlines while managing multiple large-scale projects in a fast-paced and rapidly changing environment.
• Strong interpersonal communication skills (written and verbal).