Associate Data Scientist

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

Job summary

Trinity Life Sciences in Gurugram is seeking an analytics professional to design, develop, deploy and maintain predictive models for marketing analytics within the life sciences domain.

You will work with internal teams, handle end-to-end analytics projects, and apply advanced statistical and econometric models to business problems, including segmentation, marketing effectiveness, and next-best-action strategies.

Qualifications

• 2-3 years of work experience on analytic projects using advanced modelling and tools such as R and Python.
• Knowledge of promotional channels and digital analytics.
• Strong analytical skills and ability to communicate actionable analytical findings.
• Familiarity with applying analytics to sales, marketing, or managed markets problems.
• Ability to work proactively in a client-facing environment.

Responsibilities

• Work with internal business teams to understand problem statements, requirements and use cases.
• Address business problems including Marketing Effectiveness, Sales Engagement & Next Best Action, Demand Planning, Customer Segmentation, Test & Control analysis.
• Conduct simple and advanced data analysis to help clients make informed decisions.
• Apply advanced statistical, econometric, optimization models to real-world business problems.
• Explore emerging statistical models and provide analysis using existing models.
• Build solutions on structured as well as un-structured data (text, images).
• Maintain best practices and analytics standards in pharma domain.
• Collaborate with project leadership to define project scope.

Skills

Analytical experience

R

Python

Digital analytics

Promotional channels

Education

Masters in Statistics/Marketing/Finance/OR

Tools

R

Python

Job description

_ Job Objective: _

Design, Develop, Deploy and Maintain - Predictive models based on Business Case. Handle end to end projects in Marketing Analytics for Life Science companies

_ Roles & Responsibilities: _

• Work with internal business teams to understand problem statement, requirements and use cases

• Work on Business problems including Marketing Effectiveness, Sales Engagement & Next Best Action, Demand Planning, Customer Segmentation, Test & Control analysis

• Conduct simple and advanced data analysis to help clients make good business decisions

• Apply advanced statistical, econometric, optimization models and algorithms to real-world business problems

• Explore emerging statistical models as well as provide analysis using existing models

• Build solutions on Structured as well as Un-structured data like Text, Images etc.

• Maintain the highest standards to follow the best practices and trending analytics in pharma domain

• Work with project leadership to define project scope

_ Requirements: _

• Masters in Statistics, Marketing, Finance, Operations research

• 2-3 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.

• 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.

_ Additional Skills: _

• Knowledge on various commonly used transactional data assets and others including Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets