Job Description

Eli Lilly Services India Pvt Ltd Consumer Marketing Analytics Team: Data Scientist As Eli Lilly strives to achieve its purpose of making life better for patients, we have been building up our in-house u2018Consumer Experienceu2019 function, which will design and execute next-generation marketing campaigns aimed at informing and educating consumers (or patients) directly. To support the Consumer marketing teams in their decision-making, a data and analytics team has been set up simultaneously in Indianapolis (HQ) and Bengaluru (LCCI). This team will be responsible for setting up the data warehouses necessary to handle large volumes of digital streaming data, create meaningful analyses, and deliver recommendations to leadership. As part of the LCCI team, we are excited to offer the role of a Data Scientist who will be an integral part of the Consumer analytics team. Core Responsibilities: Use advanced analytics 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 Dive deep into a variety of digital and consumer data sources including Google Analytics, DoubleClick Manager, Search, TV viewership etc. to find patterns, explain trends and tie them to business outcomes 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, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected Required u00A0 3-8 years of in-depth hands-on experience in building models using statistical and ML modelling techniques Strong prior experience in data science projects from start to finish (including data cleaning, exploration, modelling for prediction AND inference and results generation) Proficient in SQL and R or Python 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) Preferred Qualifications u00A0 Experience working with digital data for Healthcare/Retail/BFSI/Digital native companies Familiarity with cloud technology and AWS services for analytics Education: masteru2019s degree in technology, statistics, econometrics, operations research or computer science or bachelors degree in similar fields with significant relevant work experience

foundit