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Associate Data Scientist

Trinity Life Sciences

2–3 yrsOn-site · Bangalore Urban, Karnataka, IndiaFull-timeListed 6d ago
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Experience 1–3 yrs (2–3 years)

About the role

structured by ORI

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…

What you will do

  • 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

What they are looking for

  • 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.
Marketing AnalyticsData AnalysisData MiningPredictive ModelingCustomer SegmentationDemand PlanningDigital AnalyticsStatisticsRPython
Full posting text

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

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: Business Consulting and Services

Engineering and Information TechnologyBusiness Consulting and Services
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