Data Scientist, Machine Learning

Trinity Life Sciences; Haryana; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Trinity Life Sciences seeks a data analytics professional in India to conduct simple and advanced data analysis for client decisions. You will define project scope with leadership and manage end-to-end implementation, applying statistical and optimization models to real-world problems.

Develop new models, mentor teams, and maintain pharma analytics best practices. Proficiency in Python/R/SAS, PySpark, SQL and BigQuery is required, with strong stakeholder management and project delivery skills.

Qualifications

• Proficient in data analysis to support business decisions.
• Hands-on experience with statistical modeling and analytics.

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 high standards to follow best practices in pharma analytics.
• Collaborate with internal teams to understand problem statements, requirements and use cases.
• Interact with stakeholders both external and internal and manage timelines and quality.

Skills

Python

R

SAS

Problem solving

Stakeholder management

Tools

PySpark

SQL

BigQuery

Job description

• 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