Staff Engineer- Data Science

Staff Engineer - Data Science, Digital Business(3305)

Business Purpose :

To lead the development and deployment of advanced data science solutions that power personalization, content recommendations, audience insights, and business decision-making at SonyLIV.

The role will be instrumental in leveraging large-scale data to build scalable models, mentor the data science team, and ensure alignment of data-driven solutions with business goals

Education :

Bachelor's or master's degree in computer science, Data Science, Statistics, Applied Mathematics, or a related field.

Experience :

8–12 years of experience in data science, machine learning, or artificial intelligence, with a demonstrated track record of developing and deploying data science and ML solutions in production environments for real-time systems.

Proven experience leading complex, end-to-end data science projects from conception through implementation and delivery.

Desirable experience :

Exposure to large-scale data platforms and cloud technologies (AWS, GCP, Azure) with strong familiarity in AWS ecosystem

Hands-on experience in exploratory data analysis, feature engineering, data pipeline development, ML model development, model inference, endpoint deployment, and real-time serving architectures

Strong understanding and practical application experience with machine learning algorithms and neural network architectures

Experience in A / B testing methodologies, model evaluation frameworks, and advanced analytics

Prior experience in media, OTT, or entertainment industry is an advantage

• Experience with Large Language Models (LLMs) and agentic AI frameworks is highly valued Position Interlinkages :

Works closely with Product, Engineering, and Business Strategy teams for organizational goals

Partners with Engineering, Analytics, and Product Management teams to deliver solutions

Provide technical leadership to the Data Science team

Location : Bangalore

Key Responsibilities :

Lead the design and implementation of machine learning models for personalization, recommendations, and audience engagement

Drive experimentation and optimization initiatives across SonyLIV's digital platform

Collaborate with engineering teams to ensure seamless deployment and scalability of models

Translate complex business problems into data science use cases and deliver measurable outcomes

Establish model monitoring at business KPI level and work towards achieving business goals

Stay updated on emerging technologies and bring innovative solutions to the business Critical Competencies :

Advanced proficiency in Python for data science applications

Strong expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)

Hands-on experience with big data ecosystems (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure)

Strong understanding of data pipelines, feature engineering, model development, and model deployment

Analytical mindset with the ability to derive actionable insights from large datasets

Experience with LLM applications and agentic AI frameworks (optional)

Other Personal Characteristics :

Self-initiative and high ownership mindset

Strong leadership skills with the ability to influence stakeholders across functions

Excellent problem-solving and decision-making abilities

Strong communication skills to explain technical concepts to non-technical teams

Passion for innovation and continuous learning

Collaborative, proactive, and outcome-oriented approach

Why Join Us?

Sony Pictures Networks is home to some of India's leading entertainment channels such as SET, SAB, MAX, PAL, PIX, Sony BBC Earth, Yay!, Sony Marathi, Sony SIX, Sony TEN, Sony TEN1, SONY Ten2, SONY TEN3, SONY TEN4, to name a few!

Our foray into the OTT space with one of the most promising streaming platforms, Sony LIV brings us one step closer to being a progressive digitally-led content powerhouse.

Our independent production venture- Studio Next has already made its mark with original content and IPs for TV and Digital Media. But our quest to Go Beyond doesn't end there.

Neither does our search to find people who can take us there. We focus on creating an inclusive and equitable workplace where we celebrate diversity with our Bring Your Own Self Philosophy and are recognised as a Great Place to Work. - Great Place to Work Institute- Ranked as one of the Great Places to Work for since 5 years - Included in the Hall of Fame as a part of the Working Mother & Avtar Best Companies for Women in India study- Ranked amongst 100 Best Companies for Women In India - ET Human Capital Awards 2021- Winner across multiple categories - Brandon Hall Group HCM Excellence Award - Outstanding Learning Practices.

The biggest award of course is the thrill our employees feel when they can Tell Stories Beyond the Ordinary!