Warner Bros. Discovery - Senior Data Scientist - R/Python (4-8 yrs)

Job Description :

Roles & Responsibilities :

The role will focus on building out machine learning solutions for WBD's Data and Analytics organization. Primary focus will be on unlocking machine learning opportunities and building foundational machine learning training and inference pipelines at scale.

You have a deep understanding of different types of data, metrics and KPIs. You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization.

You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments.

Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.)

Lead data science and model development techniques for the team. Leverage industry best practices and tools to continually improve teams' ability to build machine learning models.

What to Bring :

- BA/BS in statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required.

- Masters/PhD is a plus

- 4+ years of experience building data science/statistical models (Multivariate regression, Time Series Model, XGBoost, Causal inference etc.)

- Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, variational auto-encoders, ...).

- Experience with Deep Learning, NLP, LLMs, Reinforcement Learning, Causal Inference.

- Good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,...).

- Proficiency in programming languages such as Python or R.

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

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

- Strong interpersonal skills with the ability to motivate, collaborate and influence

- Ability to deliver on multiple projects and meet tight deadlines

- Ability to effectively influence and communicate cross-functionally with all levels