Senior Data Scientist (AI & ML)

Posted 7 Hours Ago
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Bengaluru, Karnataka, IND
Hybrid
Senior level
Digital Media • Information Technology • Analytics
The Role
Lead AI/ML strategy and large-scale data science projects for content generation, entity linkage, computer vision, and model deployment. Architect scalable data platforms, ensure data and model quality, oversee MLOps, mentor teams, and collaborate with product and engineering to deliver AI-driven media solutions.
Summary Generated by Built In
Company Description

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.

Job Description

Role Overview:

As a Senior Data Scientist (AI & ML) / Member Technical Staff II on the Gracenote team, you will be responsible for :
Defining the AI/ML strategy, overseeing large-scale data science projects, and leading teams to
build cutting-edge machine learning solutions that scale content understanding and generation,
entity linkage, and more to achieve the scale that matches our customer’s demands.

Key Responsibilities :

  • Define and execute the AI/ML strategy for content generation (Gen-AI), entity linkage
  • and matching, image processing, and content understanding.
  • Development of next-generation content generation systems using Large
  • Language Models (LLMs)
  • Architect scalable data platforms to support real-time and batch processing of media-rich
  • datasets.
  • Own the Data Quality of the deliverables and ensure the consistent performance of the
  • models and its output quality.
  • Define and implement standards for the organization that match industry best practices.
  • Collaborate with product, engineering, and business teams to drive AI-powered
  • innovation.
  • Improve computer vision models for automated content tagging, video summarization,
  • and understanding.
  • Oversee MLOps infrastructure to ensure robust deployment and monitoring of ML
  • models.
  • Stay ahead of emerging trends in AI, deep learning, and media tech, integrating new
  • research into practical applications.
  • Mentor and grow a team of data scientists and engineers.

Required Skills :

  • Expert-level proficiency in Python, SQL, and big data tools (Spark, Kafka, Airflow).
  • Expert-level proficiency in RAG
  • Extensive experience in Deep learning, reinforcement learning, NLP, and computer
  • vision.
  • Experience in large-scale machine learning model deployment and optimization.
  • Proven leadership skills in building and scaling data science teams.
  • Experience with Kubernetes, Docker, and cloud AI services.

Qualifications

  • Master’s in AI, Machine Learning, Data Science, or a related field.
  • 4+ years of experience in data science and machine learning
  • Strong track record in building AI-driven solutions for media and entertainment.

Additional Information

We are currently looking to hire an immediate joiner. Please apply only if you are able to join within the next 30 days.

Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Skills Required

  • Expert-level proficiency in Python
  • Expert-level proficiency in SQL
  • Experience with Spark
  • Experience with Kafka
  • Experience with Airflow
  • Expert-level proficiency in RAG (Retrieval-Augmented Generation)
  • Extensive experience in Deep Learning
  • Experience in Reinforcement Learning
  • Extensive experience in NLP
  • Extensive experience in Computer Vision
  • Experience in large-scale ML model deployment and optimization
  • Proven leadership in building and scaling data science teams
  • Experience with Kubernetes
  • Experience with Docker
  • Experience with cloud AI services
  • Master's in AI, Machine Learning, Data Science, or related field
  • 4+ years of experience in data science and machine learning
  • Strong track record building AI-driven solutions for media and entertainment

Nielsen Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nielsen and has not been reviewed or approved by Nielsen.

  • Leave & Time Off Breadth Time off is described as generous, including flexible or unlimited PTO in some roles, paid holidays, sick days, volunteer time, and flex days. Personal days accrue monthly and can be used at employees’ discretion.
  • Parental & Family Support Support includes paid parental leave, family medical leave, adoption assistance, and adoption subsidies. These programs are positioned as part of a comprehensive package for families.
  • Strong & Reliable Incentives Select roles benefit from commissions, car pay, longevity bonuses, and performance-based bonuses. In some cases, overall compensation is characterized as outstanding or very satisfying.

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The Company
HQ: New York, NY
30,034 Employees

What We Do

Nielsen shapes the world’s media and content as a global leader in audience insights, data and analytics. Through our understanding of people and their behaviors across all channels and platforms, we empower our clients with independent and actionable intelligence so they can connect and engage with their audiences—now and into the future. An S&P 500 company, Nielsen (NYSE: NLSN) operates around the world in more than 55 countries.

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