
Senior Data Scientist
- Mumbai, Maharashtra
- Permanent
- Full-time
- Building knowledge of Nielsen suite of products and demonstrating the same
- Understanding client concerns
- Able to put forth ways and means of solving client concerns with supervision
- Automation and development of solutions for existing processes
- Taking initiative to understand concerns/problems in the RMS product and participating in product improvement initiatives
- Understanding client concerns
- Able to put forth ways and means of solving client concerns with supervision
- Automation and development of solutions for existing processes
- Taking initiative to understand concerns/problems in the RMS product and participating in product improvement initiatives
- 2-3 years of experience in market research or relevant field
- Embraces change, innovation and iterative processes in order to continuously improve the products value to clients.
- Continuously collaborate & support to improve the product.
- Active interest in arriving at collaboration and consensus in communication plans, deliverables and deadlines
- Plans and completes assignments independently within an established framework, breaking down complex tasks, making reasonable decisions. Work is reviewed for overall technical soundness.
- Participates in data experiments and PoCs, setting measurable goals, timelines and reproducible outcomes. Applies critical thinking and takes initiative.
- Continuously reviews the latest industry innovations and effectively applies them to their work
- Consistently challenges and analyzes data to ensure accuracy.
- Ability to manipulate, analyze and interpret large data sources
- Experienced in high-level programming languages (f.e. Python, R, SQL, Scala), as well as with data visualization tools (e.g. Power BI, Spotfire, Tableau, MicroStrategy)
- Able to work in virtual environment. Familiar with git/Bitbucket processes
- People with at least some experience in RMS, NIQ, will have an advantage
- Can use a logical reasoning process to break down and work through increasingly challenging situations or problems to arrive at positive outcomes.
- Identify and use data from various sources to influence decisions
- Interpret effectively the data in relation to business objectives
- Ability to engage/communicate with team and extended team members
- Can adapt to change and new ideas or ways of working.
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)