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
