Description
Job Objective: To work with the team of data scientists managing multiple projects. Guide the team in formulation, model development and implementation by liaising with business stakeholders to explain the model outcomes.
Designation: Associate Consultant
Job Location: Bangalore/Chennai
Type of employment: Permanent
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
Qualifications
Requirements:
- Masters in Statistics, Marketing, Finance, Operations research, Engineering, or equivalent full-time education
- 4+ 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.
- Should be inquisitive and have a learning mindset
- Willingness and ability to experiment with new tools and techniques
- 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
- Strong conceptual & working knowledge of Statistical models
- Ability to maintain personal composure and tactfully handle difficult situations
