Senior Member Technical Staff (Lead Data Science Engineer)

Senior Member Technical Staff (Lead Data Science Engineer (Media Tech)) Full-time Compensation: INR 0 - INR 0 - yearly 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 its 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. Gracenote, a Nielsen company, is dedicated to connecting audiences to the entertainment they love, powering a better media future for all people. Gracenote is the content data business unit of Nielsen that powers innovative entertainment experiences for the worlds leading media companies. Gracenotes industryleading datasets cover TV programs, movies, sports, music and podcasts in 80 countries and 35 languages. Gracenote provides common identifiers that are universally adopted by the worlds leading media companies enabling powerful crossmedia entertainment experiences. Machine driven, human validated bestinclass data and images fuel new search and discovery experiences across every screen. Gracenote's Data Organization is a dynamic and innovative group that is essential in delivering business outcomes through data, insights, predictive & prescriptive analytics. An extremely motivated team that values creativity, experimentation through continuous learning in an agile and collaborative manner. The data team oversees the whole data lifecycle from designing, developing and maintaining data architecture that satisfies our business goals to managing data governance and regionspecific regulations. As a Lead Data Science Engineer on the Gracenote Media team, you will be responsible for defining the AI/ML strategy, overseeing largescale data science projects, and leading teams to build cuttingedge machine learning solutions that scale content understanding and generation, entity linkage, and more to achieve the scale that matches our customers demands. Key Responsibilities Define and execute the AI/ML strategy for content generation (GenAI), entity linkage and matching, image processing, and content understanding. Lead the development of nextgeneration content generation systems using Large Language Models (LLMs). Architect scalable data platforms to support realtime and batch processing of mediarich datasets. Own the Data Quality of the deliverables and ensure the consistent performance of the models and their output quality. Define and implement standards for the organization that match industry best practices. Collaborate with product, engineering, and business teams to drive AIpowered 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 Expertlevel proficiency in Python, SQL, and big data tools (Spark, Kafka, Airflow). Extensive experience in deep learning, reinforcement learning, NLP, and computer vision. Experience in largescale machine learning model deployment and optimization. Proven leadership skills in building and scaling data science teams. Experience with Kubernetes, Docker, and cloud AI services. Masters in AI, Machine Learning, Data Science, or a related field. 8+ years of experience in data science and machine learning, with at least 3+ years leading teams. Strong track record in building AIdriven solutions for media and entertainment. Please be aware that jobseekers 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 an @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 youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. Senior Member Technical Staff (Lead Data Science Engineer (Media Tech)) Full-time Compensation: INR 0 - INR 0 - yearly 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 eng