About Us
JioStar stands at the intersection of cutting-edge technology and captivating content, redefining how audiences experience entertainment and sports globally. Our television network and streaming services reach over 750 million viewers every week, delivering a diverse range of content from live sports to video-on-demand (VOD). With a commitment to innovation, we aim to create a personalized and engaging media experience that resonates with users while empowering advertisers with meaningful insights.
Our AdTech team is the backbone of this vision. By leveraging advanced analytics, machine learning, and generative AI, we are building a next-generation ad platform that not only optimizes ad delivery but also drives measurable impact for users and advertisers alike. JioStar’s mission extends beyond India, with ambitious plans to introduce our freemium model to international markets, offering a platform where quality content meets intelligent, personalized advertising.
At JioStar, diversity and inclusion are at the heart of our workplace culture. We ensure that employees can bring their authentic selves to work, with zero tolerance for discrimination based on gender, disability, identity, or legally protected status. Our teams thrive on collaboration, creativity, and a shared commitment to shaping the future of entertainment and advertising globally.
Job Details
- Job Title: Senior Data Scientist – Ads
- Job ID: JS-ADS-2025
- Location: Bengaluru, Karnataka (On-site)
- Employment Type: Full-Time
- Batch: Not Applicable
- Experience: 4–6 Years
- Salary: As per Industry Standards
- Qualification: Bachelors/Masters in Data Science, Statistics, Computer Science, Mathematics, or related fields
- Certifications (if any): Not mandatory
This role is ideal for individuals passionate about data science and AI-driven advertising, who enjoy working in a fast-paced, innovative environment, and are eager to make a measurable impact in the digital advertising ecosystem.
Key Responsibilities
As a Senior Data Scientist – Ads at JioStar, you will play a pivotal role in designing and deploying advanced data-driven solutions for our Ad Platform. You will analyze large datasets from diverse sources, uncover trends and actionable insights, and translate them into strategies that enhance the personalized ad experience for millions of users.
Your responsibilities will include developing machine learning models, predictive analytics frameworks, and generative AI solutions to optimize ad targeting, improve campaign performance, and maximize revenue. You will forecast inventory and reach across diverse content, ranging from live sports to VOD, while ensuring seamless integration of models into production systems for real-time decision-making.
Collaboration is central to this role. You will work closely with Data Engineering, Product Management, AdTech, and Business teams to understand challenges, design solutions, and deploy end-to-end systems. Continuous evaluation of model performance, data quality, and algorithmic improvements is expected to maintain reliable, accurate, and scalable insights.
Additionally, you will design and execute A/B tests and other experimental frameworks to validate model improvements, quantify business impact, and communicate findings effectively to both technical and non-technical stakeholders. Staying abreast of the latest advancements in machine learning, AI, and AdTech will be key to ensuring that our advertising platform remains innovative and competitive.
Required Skills
Proven expertise in data science and machine learning, preferably within AdTech, digital marketing, or related industries.
Strong proficiency in Python, SQL, and essential data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
Experience in building, deploying, and monitoring machine learning models in production systems.
Working knowledge of big data technologies like Hadoop, Spark, and distributed computing frameworks.
Familiarity with cloud platforms, such as AWS, Google Cloud, or equivalent.
Strong understanding of statistical analysis, data mining, predictive modeling, and algorithm design.
Ability to leverage large language models (LLMs) and generative AI to enhance ad targeting, personalization, and campaign effectiveness.
Excellent problem-solving skills with the ability to translate business objectives into actionable data science solutions.
Strong communication and presentation skills to explain complex findings to stakeholders with varying technical expertise.
Comfortable working with large-scale, high-velocity datasets and maintaining model reliability under demanding production environments.
Preferred Skills
Advanced knowledge of AdTech metrics, such as user lifetime value (LTV), conversions, engagement metrics, and campaign optimization.
Familiarity with modern experimentation frameworks and A/B testing methodologies in online advertising.
Experience in predictive inventory management, demand forecasting, and multi-channel advertising optimization.
Knowledge of reinforcement learning, personalization algorithms, and recommendation systems.
Perks and Benefits
Competitive compensation package aligned with industry standards.
Opportunity to work on cutting-edge AI and machine learning projects in AdTech.
Exposure to diverse, high-impact projects spanning live sports, VOD, and global content.
Collaborative work culture promoting innovation, learning, and growth.
Health insurance, wellness programs, and employee engagement initiatives.
Opportunity to contribute to international expansion and global impact.
Why Join Us
JioStar offers a unique opportunity to be part of a pioneering AdTech and media ecosystem in India and beyond. You will work with a team of highly skilled professionals in a stimulating environment that values creativity, data-driven decision-making, and innovation. By joining JioStar, you will have the chance to shape the future of personalized video advertising, drive measurable business outcomes, and be part of a company committed to diversity, equity, and inclusion. This is more than a job—it’s a chance to be at the forefront of technological transformation in digital media.
How to Apply
To apply for this role:
Prepare your updated resume highlighting your most relevant skills, projects, and achievements.
Click the “Apply Now” link below.
Complete the online application form with accurate information.
Submit your application and await further communication from our recruitment team.
