Director - Data Science

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
• Skills and attributes for success:
• Strong project management and team management skills
• Ability to extract, aggregate, structure, and manage large volume data sets using database querying language e.g. SQL
• Strong knowledge of innovation in analytics, analytics use cases and technologies.
• Exceptional problem-solving skills with demonstrated ability to structure complex problems and develop solutions
• Strong knowledge of statistics with experience generating models using techniques such as segmentation, clustering, multivariate regression, decision trees, forecasting, time series, nonlinear modeling, optimization models
• Proficiency with one of the statistical programming tools R/Python is a must
• Demonstrated expertise in handling audio and video data, with experience in building models for Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Speech-to-Text (STT), as well as leveraging Large Language Models (LLMs) and Generative AI (GenAI).
• Preferred education and experience:
• Graduate or Masters degree in engineering, math, statistics, economics, business analytics or relevant quantitative discipline
• Strong academic performance with emphasis on analytics and business application is required
• 8 to 11 years of experience in advanced analytics – predictive analytics, statistical analytics, clustering, segmentation