Roles & Responsibilities: 

You will be responsible for building and scaling machine learning solutions for Warner Bros. Discovery’s Data, ML and Analytics organization. Your primary focus will be on unlocking business opportunities and building advanced machine learning models and inference pipelines at scale. You will lead by example, setting high standards for the team and the organization, and have a successful track record of ambitious projects across cross-functional teams. You will:

• Develop a deep understanding of different types of data, metrics, and KPIs to identify and formulate data science problems that drive impactful solutions.

• Lead the development of cutting-edge machine learning and data science solutions, including large language models, computer vision models, and advanced ad & content targeting.

• Review and develop mathematical solutions to complex data science problems, ensuring technical excellence and scalability.

• Utilize Agentic AI, Gen AI, and LLM-based models to formulate and identify business use cases, providing advanced insights and opportunities to move the business needle.

• Define and implement best practices for the team, setting high standards for technical quality and innovation.

• Create and deliver compelling presentations to senior leadership and business stakeholders, effectively communicating business insights and recommendations.

• Manage and oversee data science projects, ensuring timely delivery and alignment with business objectives.

• Leverage industry best practices and tools to continually improve the team's ability to build and deploy machine learning models.

• Work closely with platform, content, user data, and product partners to expand and enhance data science capabilities.

• Drive observability, scalability, cost-optimization, and performance tuning for data science models and services.

• Motivate, inspire, and create a culture of experimentation and data-driven innovation, advocating for customer-centric solutions.

• Collaborate with principal engineers to productionalize models and create a robust architecture for deploying machine learning solutions at scale.

Qualifications:

• 12-14 years of experience in data science and machine learning algorithms, with at least 3 years of leading and managing a software development team.

• Strong understanding of modern ML approaches (e.g., GBDT, CNN, LSTM, GRU, HRNN, transformer models, variational auto-encoders).

• Experience with Classical ML Techniques, Deep Learning, NLP, LLMs, Causal Inference, and proficiency in ML tools and frameworks (Keras, PyTorch, scikit-learn, Spark).

• Proficiency in programming languages such as Python or R.

• Experience with implementing and managing MLOps frameworks to enhance reproducibility, scalability, and maintainability of machine learning models.

• Familiarity with real-world ML systems, including configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, and monitoring.

• Experience with offline experimentation and A/B testing.

• Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow.

• Understanding of batch and streaming data processing techniques.

• Experience of Databricks, AWS, GCP, or Azure.

• Experience with Docker and Kubernetes.

• Experience with CI/CD tools like GitHub Actions, Jenkins, etc.

• Familiarity with agile practices and processes.

• Excellent written and verbal communication skills, with the ability to contribute to technical documentation and provide on-call support.

• BA/BS in Data science, machine learning, statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus.

Other Qualifications:

• Proven track record of leading cross-functional teams and delivering ambitious projects.

• Passionate about technical excellence and innovation, with a hands-on approach to problem-solving.

• Strong focus on customer needs and rapid feature iteration.

• Strong interpersonal skills with the ability to motivat Official notification