Director, AI/ML & Data Science

• The Director of AI/ML & Data Science Gracenote India will be central to the success of the data
• science teams across geographies. This role is fundamental to the growth and success of
• Gracenote AI & Data Science organization as a whole. Key goals of this role are to establish the
• technical rigor, culture and operating rhythm of the organization, delivering the business outcomes
• for Gracenote and working with local and global stakeholders to collaborate on key outcomes and
• deliverables. This role will involve leading initiatives in AI, core data science, NLP, computer vision
• and MLOps.

Responsibilities

 

• Manage multiple teams of Gracenote data science and analytics engineers, with direct and indirect managerial responsibilities.
• Work with local and global management across all relevant org partners to ensure success and productivity and business outcomes of assigned teams.
• Create a culture based on Nielsen values, fostering a culture of collaboration, innovation, and continuous learning and growth.
• Establish operating rhythm and cadence within areas of responsibility to ensure transparent communication and inclusiveness, with the aim of creating a positive high retention environment for associates.
• Track KPIs including productivity and employee retention.
• Coordinate and maintain a talent pipeline, including connections with Universities and supporting internships and new joiner programs.
• Continuously assess and improve business processes.
• Apply an automation mindset to automate processes for recurring analyses and simulations, focusing on efficiency.
• Oversee the deployment and maintenance of machine learning models, AI & LLM based solutions and data pipelines in a production environment.
• Establish and enforce rigorous quality assurance processes to maintain the integrity and accuracy of audience measurement data.
• Ensure adherence to tools of the Product Development Lifecycle.
• Drive research initiatives to improve existing methodologies for statistical sampling and research for panels and surveys.
• Oversee evolution of analytics to incorporate more predictive and prescriptive analytics into Nielsen’s operational processes.
• Identify and implement market research methodologies appropriate for the media measurement space.
• Represent Global Data Solutions Data Science and Analytics team in cross-functional (e.g., Product, Technology, Audience Measurement Data Science) engagements.
• Stay abreast of emerging trends, technologies, and best practices in data science, market research, and media analytics, contributing to thought leadership initiatives and industry forums.
• Lead initiatives in core data science, including statistical modeling, machine learning, data mining, and experimental design.
• Develop and implement NLP solutions for text analysis, sentiment analysis, topic modeling, information extraction, and chatbot development.
• Lead computer vision projects, including image/video analysis, object detection, image classification, facial recognition, and video understanding.
• Utilize GenAI tools for workflow creation, including building and deploying Agentic RAG systems, Small Language Models (SLMs), text generation, and content summarization.

 

• Bachelor’s/Master’s degree or PhD. (preferred) in a quantitative research field, such as computer science, data science, statistics, mathematics, biological/physical sciences, etc.
• 13+ years of experience working with Data Science, AI, deep learning and statistics.
• Proven track record in team building.
• 10+ years of experience with statistical coding languages such as Python, Spark, SAS, R, Scala, and/or SQL.
• 3-5 years of experience working in a cloud-based environment, ideally AWS.
• Good understanding of business tools such as JIRA, Airflow, Confluence, Smartsheets, Google Workspace suite.
• Excellent statistical and analytical skills.
• Experience in data integrations (e.g., developing data pipelines, analytics workflows, self-service apps)
• 3-5 years experience with low-code/no-code tools (e.g., Alteryx).
• 3-5 years experience in visualization tools e.g., Tableau, PowerBI, Looker, Spotfire, Salesforce dashboards.
• Excellent communication (verbal and written) and presentation skills in English.
• Excellent critical thinking and problem-solving skills.
• Sense of curiosity, skepticism, and attention to detail.
• Knowledge of market research methodologies, media consumption trends, and media industry regulations is a plus.
• Strong foundation in core data science principles, including statistical modeling, machine learning algorithms, and data manipulation techniques.
• Experience with NLP libraries and frameworks (e.g., NLTK, SpaCy, Hugging Face Transformers, Gensim).
• Experience with computer vision libraries and frameworks (e.g., OpenCV, TensorFlow,PyTorch, Keras).
• Hands-on experience with GenAI tools and techniques, including RAG, SLMs, prompt engineering, and fine-tuning pre-trained models.
• Familiarity with deploying and managing machine learning and GenAI models in production environments.

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