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:

Years of experience:

0 to 3 years

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.

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.

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.

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.