Sr. Data Scientist

Delan Associates, Inc • Charlotte, NC

1d

About The Position

We're looking for a Data Scientist to join a team focused on advertising inventory modeling and capacity forecasting for client's subscriber base. This team builds models that match commercials and ads to subscriber profiles based on viewing behavior, identifies gaps in that targeting, and works to fill them through marketing data. A core part of the role is forecasting available advertising capacity — balancing sold vs. unsold airtime, and understanding the difference between acquired inventory and Spectrum's own inventory, as well as true demand vs. true capacity.
The team works with a blend of client's proprietary subscriber data and third-party data sources. Notably, data from Cox — previously treated as third-party — became first-party data as of a recent company merger, and this shift is actively being incorporated into forecasting models.
This is a great opportunity for a data scientist who enjoys applied modeling work with real business impact, in a fully cloud-based environment.

Requirements

• Solid, practical data science experience
• Ability to work independently on modeling problems
• Experience working as part of a team
• Comfort doing some data engineering work in support of modeling
• Python
• SQL
• Time series & Forecasting Experience
• Experience with Snowflake
• Experience with AWS

Nice To Haves

• Exposure to CI/CD processes
• SageMaker
• Airflow
• PySpark

Responsibilities

• Build and maintain models that align advertising inventory with subscriber viewing profiles
• Forecast advertising capacity, including sold vs. unsold airtime and acquired vs. owned (Spectrum) inventory
• Work with both first-party (Charter, and now Cox) and third-party data sources
• Incorporate newly integrated first-party data (from the Cox merger) into existing forecasting models
• Collaborate with a cross-functional team, following established CI/CD practices
• Take on light data engineering tasks as needed to support modeling work

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed