Associate Data Scientist

About the job

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