Senior Data Scientist - ML, NLP & Scalable Pipelines

Global Sports Jobs Limited; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Great workplace environment

Fast-track growth opportunities

Curated benefits and tools

Job summary

Warner Bros. Discovery seeks an experienced data scientist to lead the design and delivery of machine learning solutions within the Data & Analytics organization. You will shape modeling approaches and support foundational training and inference pipelines at scale.

You will drive cutting-edge capabilities including large language models, computer vision, and advanced ad/content targeting, while mentoring teams and setting best practices across the function.

Qualifications

• BA/BS in statistics, mathematics, economics, industrial engineering, or another quantitative discipline is required.
• 5–8 years of experience building data science or statistical models, such as multivariate regression, time series models, XGBoost, and causal inference.
• Strong understanding of modern machine learning approaches, such as GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, and variational auto-encoders.
• Experience with deep learning, NLP, LLMs, reinforcement learning, and causal inference.
• Good knowledge of machine learning tools and frameworks, such as TensorFlow, Keras, PyTorch, scikit-learn, and Spark.
• Proficiency in programming languages such as Python or R.
• Familiarity with real-world machine learning systems, including configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, and monitoring.
• Good understanding of operating machine learning solutions at scale, covering the end-to-end machine learning 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.
• Deep understanding of different types of data, metrics, and KPIs.
• Successful track record for ambitious projects across cross-functional teams.
• Passionate, results-oriented, and hands-on, with a commitment to technical excellence.
• Track record of earning respect through concrete accomplishments.

Responsibilities

• Build machine learning solutions for WBD's Data and Analytics organisation.
• Unlock machine learning opportunities and build foundational machine learning training and inference pipelines at scale.
• Build cutting-edge capabilities using machine learning and data science, such as large language models, computer vision models, and advanced ad and content targeting.
• Lead data science and model development techniques for the team.
• Lead by example, define best practices, and set high standards for the team and the wider organisation.
• Leverage industry best practices and tools to continually improve the team's ability to build machine learning models.

Skills

Statistics & ML modeling

Time series & multivariate models

XGBoost & causal inference

Deep learning (CNN/LSTM/transformers)

NLP / LLMs

Python

R

TensorFlow / PyTorch

Spark

End-to-end ML pipeline

Cross-functional collaboration

Education

BA/BS in a quantitative field

Tools

TensorFlow

Keras

PyTorch

scikit-learn

Spark

Job description

Warner Bros. Discovery seeks an experienced data scientist to lead the design and delivery of machine learning solutions within the Data & Analytics organization. You will shape modeling approaches and support foundational training and inference pipelines at scale.

You will drive cutting-edge capabilities including large language models, computer vision, and advanced ad/content targeting, while mentoring teams and setting best practices across the function.