Senior Data Scientist
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Summary
Senior Data Scientist at DAZN's Hyderabad office, owning end-to-end ML/AI solutions from problem framing through production deployment, monitoring and model lifecycle. Works on GenAI/LLM, NLP, recommendation or forecasting use cases using Python, SQL, cloud and MLOps tooling.
About the Role:
We are looking for a Senior Data Scientist with strong hands-on expertise in Python, SQL, AI/ML and at least one specialization such as GenAI/LLMs, Deep Learning, NLP, Computer Vision, Recommendation Systems or Forecasting.
We are looking for a Senior Data Scientist with strong hands-on expertise in Python, SQL, AI/ML and at least one specialization such as GenAI/LLMs, Deep Learning, NLP, Computer Vision, Recommendation Systems or Forecasting.
- Own end-to-end Data Science/ML solutions from problem definition to production.
- Develop, optimize and deploy production-grade ML/AI models.
- Apply advanced Python, SQL, statistics, ML and deep-learning techniques.
- Work on GenAI/LLM, RAG, NLP, recommendation or other AI use cases as relevant.
- Build scalable ML pipelines and contribute to system/solution architecture.
- Work with cloud and MLOps for deployment, monitoring and model lifecycle management.
- Perform experimentation, model evaluation, error analysis and continuous improvement.
- Partner with engineering/product teams to deliver measurable business impact.
- Mentor junior/mid-level Data Scientists and contribute to technical best practices.
- 5+ years in Data Science / ML / AI.
- Advanced Python & SQL.
- Strong ML/statistics fundamentals with deep implementation experience.
- Expertise in at least one AI/ML specialty.
- Production ML experience.
- Strong cloud/MLOps understanding.
- Good system-design exposure.
- Strong problem-solving and stakeholder communication skills.
Preferred
- PyTorch/TensorFlow, Scikit-learn, XGBoost/LightGBM, AWS/Azure/GCP, Docker, Kubernetes, MLflow, CI/CD, RAG, LLMs, vector databases and LLM evaluation.
What We Expect
A senior practitioner who can design, build, productionize and own ML/AI.