- 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 We're Looking For
- Solid, practical data science experience — this is not a role requiring deep specialization or "absolute expert" level skills
- Someone who understands what they're doing and can work independently on modeling problems
- Experience working as part of a team, ideally with exposure to CI/CD processes
- Comfort doing some data engineering work in support of modeling (not a pure modeling-only candidate)
- Candidates from a Finance background are not a strong fit for this role
- Languages/Tools: Python, SQL
- Time series & Forecasting Experience
- Data Warehouse: Snowflake (corporate data warehouse)
- Cloud: AWS (fully cloud-based — no on-prem infrastructure)
- Nice to Have: SageMaker, Airflow, PySpark
Data Scientist in charlotte at Unknown Company
This position is listed as full time and onsite.