Lead Data Science Engineer (Media Tech)

A media tech company specializing in AI/ML solutions for content personalization, user retention, and monetization.
Data
Staff Software Engineer
Hybrid
8+ years of experience
AI · Enterprise SaaS

Description For Lead Data Science Engineer (Media Tech)

Nielsen is seeking a Lead Data Science Engineer to spearhead their AI/ML initiatives in the media technology space. This role presents an exciting opportunity to shape the future of content discovery, ad-tech, and audience analytics through cutting-edge machine learning solutions.

The position combines technical leadership with hands-on development, requiring expertise in deep learning, reinforcement learning, and graph-based models. You'll be responsible for architecting scalable data platforms and leading the development of next-generation recommendation systems that drive content personalization and user engagement.

As a technical leader, you'll oversee MLOps infrastructure, ensure robust model deployment, and maintain high standards for data quality. The role involves close collaboration with cross-functional teams, including product, engineering, and business stakeholders, to drive AI-powered innovation throughout the organization.

The ideal candidate brings a strong academic foundation with a Master's degree in AI or related fields, coupled with 8+ years of practical experience. You should have a proven track record in building AI-driven solutions for media and entertainment, with particular expertise in personalization algorithms, computer vision, and ad-tech models.

This hybrid role in Bangalore offers the opportunity to work with cutting-edge technologies while leading and mentoring a team of talented data scientists and engineers. You'll be at the forefront of applying emerging AI trends to solve real-world challenges in media technology, making a significant impact on content discovery, user retention, and monetization strategies.

Last updated 2 months ago

Responsibilities For Lead Data Science Engineer (Media Tech)

  • Define and execute the AI/ML strategy for content discovery, ad-tech, and audience analytics
  • Lead the development of next-generation recommendation systems
  • Architect scalable data platforms for real-time and batch processing
  • Own the Data Quality of deliverables and ensure consistent model performance
  • Define and implement standards, nomenclatures, and best practices
  • Collaborate with product, engineering, and business teams
  • Improve computer vision models for content tagging and video processing
  • Enhance monetization strategies through ad targeting optimization
  • Oversee MLOps infrastructure
  • Mentor and grow a team of data scientists and engineers

Requirements For Lead Data Science Engineer (Media Tech)

Python
Kubernetes
  • Expert-level proficiency in Python, SQL, and big data tools (Spark, Kafka, Airflow)
  • Extensive experience in deep learning, reinforcement learning, NLP, and computer vision
  • Strong expertise in personalization algorithms and recommendation engines
  • Experience in large-scale machine learning model deployment
  • Deep understanding of ad-tech models and programmatic advertising
  • Proven leadership skills in building and scaling data science teams
  • Experience with Kubernetes, Docker, and cloud AI services
  • Master's in AI, Machine Learning, Data Science, or related field
  • 8+ years of experience in data science with 3+ years leading teams
  • Strong track record in building AI-driven solutions for media and entertainment

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