Data Scientist - Consumer Analytics

Key Skills

AWS, Effective communication skills, Large scale data processing, Linear Programming, Python Programming, Retail , SQL, US Healthcare Recruitment

Job Description

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 35,000 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.

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 ‘Consumer Experience’ 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

• 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

• Experience working with digital data for Healthcare/Retail/BFSI/Digital native companies
• Familiarity with cloud technology and AWS services for analytics

Education:

• master’s degree in technology, statistics, econometrics, operations research or computer science or bachelors degree in similar fields with significant relevant work experience

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. 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.