Consultant – Data Science

2 months ago


Bengaluru, India Trinity Life Sciences Full time
Conduct simple and advanced data analysis to help clients make good business decisions  Work with project leadership to define project scope and manage end to end implementation Apply advanced statistical, econometric, optimization models and algorithms to real-world business problems. Develop new statistical models as well as provide analysis using existing models. Maintain the highest standards to follow the best practices and trending analytics in pharma domain Work with internal business teams to understand problem statement, requirements and use cases Excellent Problem Solving & Quantitative skills, Hands on experience on Python/R/SAS Experience in tools like Pyspark, SQl, Big Query Ability to create a model & simulation tool from scratch Should be comfortable interacting and managing stakeholders both external and internal Should be good in project management and ensuring timelines and quality is met Masters in Statistics, Marketing, Finance, Operations research, Engineering,or equivalent full-time education 6+ 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. Should be inquisitive and have a learning mindset Willingness and ability to experiment with new tools and techniques 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  Strong conceptual & working knowledge of Statistical models Ability to maintain personal composure and tactfully handle difficultsituations

Additional Skills:

Knowledge on various commonly used transactional data assets and others including Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets Previous work experience of pharma domain would be plus

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