Data Scientist Machine Learning

Trinity Life Sciences; Gurugram District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Trinity Life Sciences in India is hiring a analytics professional to conduct data analysis to support clients' business decisions. You will work with project leadership to define scope and manage end-to-end implementation in pharma analytics.

You'll apply advanced statistical and econometric techniques, develop new models, and maintain best practices. You will collaborate with internal teams and stakeholders to deliver timely, high-quality insights using Python/R/SAS and modern data tools.

Qualifications

• Strong data analysis and quantitative skills required.
• Hands-on experience with Python, R or SAS.
• Experience with PySpark, SQL and BigQuery.

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

Skills

Data analysis

Stakeholder communication

Project management

Problem solving

Tools

Python

R

SAS

PySpark

SQL

BigQuery

Job description

Job 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