Viacom18 is hiring for a fresher entry level Data Scientist (SE)

Position:

• Senior Executive - Data Science & Analytics

Company:

• Viacom18 Media Pvt. Ltd.

Location:

• Mumbai, India

Job type:

• Full Time

Job mode:

• On-site

Job requisition id:

• NA

Years of experience:

• 0 to 3 years

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Company description:

• Viacom18 Media Pvt. Ltd. is a leading entertainment network in India, known for its dynamic and diverse offerings across multiple platforms.
• Viacom18 has a rich portfolio, including 38 channels spanning various genres such as general entertainment, movies, sports, youth, music, and kids.
• With a mission to redefine entertainment in India, Viacom18 has successfully engaged millions of viewers through its innovative content and multimedia experiences.
• JioCinema, Viacom18's OTT platform, stands as one of the most popular streaming services in India, particularly noted for its live sports coverage.
• Viacom18 Studios has made a significant mark in the Indian film industry, producing and distributing a variety of iconic Hindi and regional films over the past 13 years.
• Committed to inclusivity, Viacom18 fosters an equal opportunity workplace where diversity is celebrated and respected.
• The company prides itself on its ability to connect with multi-generational and multicultural audiences, creating brand experiences that resonate deeply with viewers across the country.

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Profile overview:

• As a Senior Executive in Data Science & Analytics, your primary responsibility will be to lead the development and refinement of advanced analytical models aimed at improving user experiences.
• You will play a crucial role in leveraging AI technologies, especially focusing on audio and video data, to enhance content quality and user engagement.
• The role involves translating complex business problems into analytical frameworks and leading their implementation through collaboration with stakeholders.
• You will be expected to apply your expertise in predictive analytics, statistical analysis, and model development to solve business challenges and identify new opportunities for data-driven insights.
• Your role will also include maintaining and optimizing existing models while continuously exploring new data sources and methodologies.
• A significant part of your responsibilities will be to deliver top-notch analytical services, ensuring that business needs are met with the highest standards of data science practices.
• The position requires a proactive approach, where you will be expected to experiment, hypothesize, and share insights with the business to drive data-informed decisions.
• This role demands a mix of strong technical skills, business acumen, and a passion for problem-solving, making it ideal for individuals who thrive in a fast-paced, innovative environment.

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Qualifications:

• Educational Background:

  • Graduate or Master’s degree in disciplines such as engineering, mathematics, statistics, economics, business analytics, or other relevant quantitative fields.
  • Strong academic track record with a focus on analytics and its application in business contexts.

• Experience:

  • 0 to 3 years of experience in advanced analytics, with practical exposure to predictive analytics, statistical analysis, clustering, and segmentation.
  • Proven expertise in working with audio and video data, including model development for Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Speech-to-Text (STT), and familiarity with Large Language Models (LLMs) and Generative AI (GenAI).

• Technical Skills:

  • In-depth knowledge of statistical methods including segmentation, clustering, multivariate regression, decision trees, forecasting, time series, and nonlinear modeling.
  • Proficiency in statistical programming languages such as R/Python.
  • Ability to manage and analyze large datasets using SQL and experience with big data platforms (e.g., Hadoop, HDFS, Hive, Pig, Cassandra, Storm) is an advantage.
  • Familiarity with digital analytics tools such as Site Catalyst, Web Trends, Google Analytics, and Omniture is desirable but not mandatory.

• Personal Attributes:

  • A natural problem-solver with a strong inclination towards research and innovation.
  • Highly proactive, with a demonstrated eagerness to learn and continuously improve technical and analytical skills.

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Additional info:

• Model Development:

  • Develop and refine analytical models, including forecasting, optimization, and recommendation engines, utilizing user, behavior, and consumption data.
  • Focus on building sophisticated AI models tailored to enhance audio and video data quality.
  • Implement advanced analytics techniques to extract insights from social media platforms such as Instagram, Facebook, and Twitter using sentiment analysis, theme generation, and Named Entity Recognition (NER).

• Technology Application:

  • Demonstrate practical application of cutting-edge technologies such as Large Language Models (LLMs) and Generative AI (GenAI).
  • Ensure that the integration of these technologies enhances business processes and improves user experiences.

• Code Development:

  • Write modular and efficient code to facilitate the production and deployment of analytical models.
  • Maintain high standards of code quality to ensure seamless integration and performance of models in production environments.

• Analytics Delivery:

  • Deliver best-in-class analytical services, ensuring that business initiatives are supported by robust data-driven insights.
  • Proactively identify and propose new analytical opportunities, demonstrating an entrepreneurial mindset in addressing business challenges.

• Project Management:

  • Lead the structuring of business problems into analytical frameworks, identifying the most appropriate approaches and techniques for implementation.
  • Collaborate with business stakeholders to ensure that projects are executed effectively, with clear communication and alignment of objectives.

• Agile Process Deployment:

  • Implement an agile approach to analytics, including hypothesis generation, experimentation, and outcome sharing.
  • Drive continuous improvement in analytical processes by adapting to changing business needs and technological advancements.

• Model Maintenance:

  • Support the deployment and ongoing maintenance of analytical models, ensuring they remain relevant and effective in addressing business needs.
  • Perform ad-hoc analysis as required, and ensure the proper capture and utilization of data sources and metrics across the enterprise.

Please click here to apply.

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