Associate Director - Data Science
Team: Data Science & Analytics
Location: Mumbai
Commitment: Full Time
Workplace Type: onsite
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
- 7 to 10 years of experience in advanced analytics – predictive analytics, statistical analytics, clustering, segmentation
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