Data Scientist

Job Description

The Data Scientist will support our efforts to build better advertising technology solutions and make more informed decisions using data. This position is within the Data Science team and works closely with members of the technology, product, and operations teams.

The Team

The Nexstar Data Science team builds machine learning applications and other data-enabled solutions for Nexstar Media, Inc. The datasets include online and offline data across multiple screens, thousands of campaigns running on television, mobile, desktop, and OTT.

Principle Duties & Responsibilities:
• Analyze large datasets to identify key factors of ad campaign performance
• Build and improve machine learning models to predict audience behavior
• Implement and automate feature engineering algorithms and methods
• Integrate data assets from multiple internal and external systems
• Classify text and video content using NLP and other methods

Specialized Knowledge/Skills/Abilities:
• Detail-oriented with an affinity for data and analysis
• Excellent interpersonal, written, and verbal communications skills
• Technical capacity (SQL, Python, machine learning, statistical analysis)
• Enjoys collaborating and is action-oriented

Education & Experience:
• Preferred - BS in quantitative field (statistics, CS, engineering, physics, etc.)
• but will consider work, internship, or similar experience that includes daily usage of Python and SQL
• Required - experience analyzing and preparing data with SQL and Python
• Required - experience training and evaluating machine learning models with scikit-learn
• Required - knowledge of machine learning principles and algorithms

Nice-to-haves:
• Experience working in the online marketing industry and A/B testing
• Practical experience with NLP solutions like Word2vec, LDA, BERT
• Experience with AWS Redshift and S3
• Basic understanding of version control with git
• Building and monitoring statistical models in a production environment
• Understanding of yield optimization algorithms

Jobcode: Reference SBJ-gx31x1-18-223-205-61-42 in your application.