Senior Data Scientist (Data Platform Team), Hyderabad

Roles & Responsibilities:

- Design, develop, and deploy machine learning models and data science solutions at scale.

- Build ML capabilities using recommendation systems, personalization, predictive modeling, NLP, Generative AI, and Large Language Models (LLMs).

- Develop end-to-end ML workflows including data preparation, feature engineering, model training, validation, deployment, monitoring, and optimization.

- Apply advanced data science techniques including regression, classification, time series forecasting, causal inference, optimization techniques, and deep learning approaches.

- Build and improve scalable ML training and inference pipelines.

- Work closely with Data Engineers, ML Engineers, Product Managers, and business teams to deliver data-driven solutions.

- Perform experimentation, A/B testing, statistical analysis, and model evaluation to measure model effectiveness.

- Research and apply modern ML techniques including Transformers, Deep Learning models, NLP techniques, and AI-based solutions.

- Follow and promote data science best practices for model development, evaluation, and deployment.

- Mentor junior team members and provide technical guidance when required.

- Leverage AI-assisted tools to improve productivity and quality.

What to Bring:

- Bachelor s/Master s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.

- 5+ years of experience in building data science models and machine learning solutions.

- Strong understanding of statistics, machine learning algorithms, probability, and data science fundamentals.

- Hands-on experience in developing,



deploying, and optimizing ML models in production environments.

- Strong programming experience with Python, R, Scala, or similar programming languages.

- Experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras, and Spark ML.

- Strong knowledge of machine learning techniques, including Regression & Classification Models, Time Series Forecasting, Recommendation Systems, Personalization, Search & Ranking Models, Deep Learning, NLP, LLMs, Causal Inference, Reinforcement Learning, Multi-Armed Bandits, and Model Optimization.

- Experience across the complete ML lifecycle, including feature engineering, training pipelines, model validation, deployment, monitoring, and continuous improvement.

- Experience working with large-scale datasets and distributed computing frameworks.

- Positive understanding of MLOps concepts, scalable ML architectures, and production ML systems.

- Strong analytical thinking, problem-solving abilities, communication skills, and cross-functional stakeholder collaboration experience.

Preferred Qualifications

- Experience working on personalization, customer growth, advertising, content recommendation, or large-scale consumer platforms.

- Exposure to cloud-based ML platforms and production ML infrastructure.

- Knowledge of modern AI/GenAI tools and frameworks.

- Ability to translate research concepts into practical business solutions.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Scientist - Data Platform Team, Hyderabad
🏢 Warner Bros. Discovery
📍 Hyderabad