Hybrid Senior Lead Data Scientist, Personalization Architect

Native American Talent; New York (NY); Hybrid; USD 145,000 - 175,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k) with company match

Tuition reimbursement

Job summary

NBCUniversal's Peacock Data Science team is seeking a Senior Lead Data Scientist to develop recommendation and personalization solutions for Peacock Video Streaming. You will collaborate with engineers, product managers and analysts to enhance models, evaluate features, and deploy scalable solutions in real time and batch processing.

You will lead experiments with deep learning, foundation models, and GenAI technologies, translating complex problems into actionable insights for a global audience

Qualifications

• Advanced degree (Master or PhD) in a quantitative field.
• 5+ years of ML experience in industry or research.
• Experience with commercial recommender systems or leading research projects.
• Strong experience with deep learning.
• Proficient in Python.
• Experience with SQL and PySpark.
• Experience with foundation models and GenAI technologies.

Responsibilities

• Develop recommendation and personalization models using statistical and ML methods.
• Drive data collection, data source refinement and feature engineering.
• Translate complex problems for all levels of the organization.
• Collaborate with software and data architects on real-time and batch deployments.
• Advance statistical and ML toolsets and drive innovation.

Skills

Python

SQL

PySpark

Deep Learning

GenAI

Recommender Systems

Foundation Models

Education

Master's or PhD in a quantitative field

Tools

Kubeflow

Airflow

Databricks

Job description

NBCUniversal's Peacock Data Science team is seeking a Senior Lead Data Scientist to develop recommendation and personalization solutions for Peacock Video Streaming. You will collaborate with engineers, product managers and analysts to enhance models, evaluate features, and deploy scalable solutions in real time and batch processing.

You will lead experiments with deep learning, foundation models, and GenAI technologies, translating complex problems into actionable insights for a global audience