Director - Data Science

We are seeking a passionate Director – Data Science to lead innovation and analytics across our research, marketing, scheduling, and sales functions. In this role, you will guide the development of machine learning models using large and complex data sets. A strong background in data analysis, hands-on experience in building and deploying machine learning models, and solid working knowledge of Python/R and statistics are essential. Key responsibilities:

Build analytical models such as forecasting, optimization, recommendation engines leveraging the vast amount of available user/behavior/consumption data to enrich the end-user experience

Develop and refine sophisticated AI models centered on audio and video data to elevate the quality of our content.

Possess a working knowledge of cutting-edge technologies such as large language models (LLMs) and generative AI (GenAI), and demonstrate their practical application.

Leverage advanced analytics to decode social media data employing sentiment analysis, theme generation, and Named Entity Recognition (NER) to gain deeper insights into user interactions.

Write modular, efficient code to streamline the production and deployment of models.

Provide analytical thought leadership and ensure best in class analytic service delivery for business initiatives

Be proactive and entrepreneurial in identifying new problems that can be solved through analytics

Capable of structuring a business problem to an analytical problem and able to set up the model framework by identifying relevant approaches and techniques and driven for implementation

Taking the lead and liaising with business and other stakeholders, discussing, presenting, and bringing closure to projects

Deploy an agile process for analytics - generating hypotheses, running experiments, and sharing of outcomes/insights, etc. with business

Support the deployment, maintenance, and ad-hoc analysis required for existing or new analytical models

Ensure appropriate capture of data sources and metrics to share across the enterprise

Assist in identifying techniques and technology requirements to develop capabilities