Data Analytics Lead

6 days ago


Pune, Maharashtra, India NielsenIQ Full time
Senior Data Scientist

We are seeking a highly skilled Senior Data Scientist to join our Advanced Analytics team in Pune. As a key member of our team, you will be responsible for applying data science methods and analytics to drive business growth and sustain NielsenIQ's market leadership.

About the Role:

  • Data Analysis and Modelling: Develop advanced statistical models and machine learning algorithms to analyze complex business issues and provide actionable insights to stakeholders.
  • Project Management: Collaborate with cross-functional teams to convert proof-of-concepts into scalable products, ensuring model quality and on-time delivery.
  • Stakeholder Engagement: Communicate findings and recommendations to various stakeholders, including engineering, technology, and product leaders, through structured presentations and reports.
  • Team Collaboration: Work closely with data scientists, data stewards, and technology engineers to manage projects from timeline creation to completion, managing expectations with leaders and colleagues.
  • Professional Development: Stay up-to-date with emerging methodologies and best practices, developing expertise in areas such as optimization techniques, distributed computing, and collaborative development tools.

What We Offer:

  • A competitive salary of ₹15,00,000 - ₹25,00,000 per annum, based on experience.
  • An exciting opportunity to work with a leading consumer intelligence company, driving innovation and growth in the industry.
  • A dynamic and supportive work environment, encouraging collaboration, professional development, and work-life balance.

About Us:

NielsenIQ is the world's leading consumer intelligence company, delivering unparalleled insights into consumer behavior and preferences. With a global presence in 100+ markets, we cover over 90% of the world's population. Our mission is to count everyone and systematically embed diversity and inclusion into all aspects of our workforce, measurement, and products.


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