Consultant – Data Science

4 weeks 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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