Senior Data Scientist (Analytical Solutions) - Mumbai / Bangalore - Hybrid

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

At Nielsen, our goal is to build a better media future for all people. Our focus is on representing all audiences and understanding how they interact with content and advertising. As part of Nielsen’s Outcomes and Measurement team you will be part of a data science team focused on building scalable solutions to answer the questions like: What was the return on investment for specific media spend? Which marketing type drove the highest return on investment? How do we measure the causal relationship between advertising and engagement/sales? How can we use data to help our clients plan for the future? Our Data Science associates come from diverse disciplines that include business, economics, engineering, mathematics, operations research, physics and statistics.  These professionals drive innovation and insight through continual ideation, complex analyses and delivery of insights to our clients.  Because measurement is at the core of Nielsen’s business, our products have high visibility and make a direct impact on our clients.

Nielsen's Data Science organization has an opportunity available for a Senior Data Scientist.  The ideal candidate must have expertise in leading the research and development of analytic solutions with a focus on data analysis, data processing, and data engineering processes.  The candidate should have work experience in  assisting the orchestration of econometric/statistical or machine learning  models, expertise in modern analytics programming,  tested and deployed machine learning and artificial intelligence techniques, and the capacity to work in an agile development environment alongside data scientists and software engineers. Solid foundation in orchestrating solutions for marketing, pricing and/or advertising organizations is preferred.

Responsibilities 

• Build and maintain various data processing systems to support scalable analytical research and development.
• Design and write modules for Nielsen analytics platforms using Python, Pandas, Scikit Learn, R, Spark MLlib and Scala
• Extract data from different platforms using SQL and/or best approach.
• Understand econometric models, and supervised and unsupervised learning approaches.
• Document, design and present process flows for analytical systems using best practices 
• Partner with our Software Engineering department to build best-of-class cloud-based analytical solutions
• Design and prioritize work for smaller teams 
• Mentor newly hired associates

• Graduate degree in  Applied Mathematics, Computer Science, Engineering, or other Quantitative Field of Study
• 8+ yrs experience in working in Data Science and/or Data Engineering
• Expertise in Python, Spark, SQL or other modern programming languages 
• Strong background in data analysis, data processing and data engineering workflows.
• Experience in using machine learning libraries and techniques
• Proficient  with cloud providers (e.g. AWS, Azure)
• Experience in code management, docker, and CI/CD pipelines
• Well-organized and capable of leading multiple mission-critical projects simultaneously while meeting deadlines
• Excellent oral and written communication skills
• Attention to detail – quality, and accuracy in all work and interactions
• Quick learner with a logical mindset and analytical thinking who is passionate about technology 
• Experience in short-release life-cycle (agile processes including scrum) 

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