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
