Associate Data Scientist

Job Objective:
Design, Develop, Deploy and Maintain - Predictive models based on Business Case. Handle end to end projects in Marketing Analytics for Life Science companies
Roles & Responsibilities:
Work with internal business teams to understand problem statement, requirements and use cases
Work on Business problems including Marketing Effectiveness, Sales Engagement & Next Best Action, Demand Planning, Customer Segmentation, Test & Control analysis
Conduct simple and advanced data analysis to help clients make good business decisions
Apply advanced statistical, econometric, optimization models and algorithms to real-world business problems
Explore emerging statistical models as well as provide analysis using existing models
Build solutions on Structured as well as Un-structured data like Text, Images etc.
Maintain the highest standards to follow the best practices and trending analytics in pharma domain
Work with project leadership to define project scope
Requirements:
Masters in Statistics, Marketing, Finance, Operations research
2-3 years of work experience on analytic work (use of advanced modelling projects and tools such as R, Python etc.). Knowledge of promotional channels and digital analytics.
Strong analytical skills, excellent communication skills and the ability to communicate actionable analytical findings. Familiarity with the application of analytics to sales, marketing, or managed markets problems.
Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.
Should have sound experience in data mining and data analysis.
Additional Skills:
Knowledge on various commonly used transactional data assets and others including Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets