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Open nowPosted 4 days ago

Director - Data Science

jiostar11 open roles

Where
Mumbai
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Your applicationOpen nowDirector - Data Sciencejiostar · Mumbai

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. jiostar postings stay open a median of 8 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 4 days ago

jiostar median: 8 days open

The posting

Job Summary:

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

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
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