Director, AI/ML & Data Science
Core
Lead AI/ML and data science teams to establish technical rigor, culture, and operating rhythms, delivering business outcomes in media measurement and analytics.
Role type
Director, AI/ML & Data Science
Builds
Production ML models, AI & LLM based solutions, data pipelines, and analytics workflows for media measurement and audience engagement.
Domain
Media analytics, market research, and audience measurement
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Team leadership and management, statistical modeling, machine learning, NLP, computer vision, MLOps, GenAI (RAG, SLMs), data pipeline development, cloud architecture, experimental design, predictive analytics, market research methodologies
Preferred skills
PhD in quantitative research, experience with statistical coding languages (Python, Spark, SAS, R, Scala, SQL), cloud environment experience (AWS), low-code/no-code tools (Alteryx), visualization tools (Tableau, PowerBI, Looker, Spotfire, Salesforce dashboards), knowledge of media industry regulations
Technologies
Python, Spark, SAS, R, Scala, SQL, AWS, JIRA, Airflow, Confluence, Smartsheets, Google Workspace, NLTK, SpaCy, Hugging Face Transformers, Gensim, OpenCV, TensorFlow, PyTorch, Keras
Responsibilities
Manage multiple teams of data science and analytics engineers; oversee deployment and maintenance of machine learning models and data pipelines; drive research initiatives to improve statistical sampling and research methodologies; develop and implement NLP solutions for text analysis and chatbot development; lead computer vision projects for image/video analysis; utilize GenAI tools for workflow creation including Agentic RAG systems and content summarization; establish rigorous quality assurance processes for audience measurement data; represent the team in cross-functional engagements; stay abreast of emerging trends in data science and media analytics.
Seniority
Director, strategic leadership with hands-on technical oversight