Data Scientist, Machine Learning
Trinity Life Sciences Bengaluru, Karnataka, India
Business Consulting and Services · 1,001-5,000 employees
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About the role
Conduct advanced data analysis and develop statistical models to solve real-world business problems in the pharma domain. Collaborate with project leadership and internal business teams to define project scope and ensure high-quality implementation.
What they look for
Requirements
Requires strong problem-solving and quantitative skills with hands-on experience in Python, R, SAS, and SQL. Candidates should be comfortable managing stakeholders and possess the ability to build models and simulation tools from scratch.
Full description
Roles & Responsibilities:
- 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
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