Data Scientist - Ad Inventory Forecasting (Contract)

ManpowerGroup Global, Inc.

Charlotte (NC)

On-site

USD 120,000 - 160,000

Full time

7 days ago
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Job summary

ManpowerGroup in Charlotte, NC is seeking a Data Scientist for a contract role focused on advertising inventory modeling and capacity forecasting. You will work with first-party and third-party data in a fully cloud-based environment to deliver actionable insights and forecast capacity.

The role combines modeling with light data engineering tasks and collaboration within CI/CD governed workflows. The ideal candidate provides practical DS experience, can work independently, and contribute to team

Qualifications

  • Solid, practical data science experience.
  • Ability to work independently on modeling problems.
  • Experience in a team with CI/CD exposure.
  • Willingness to perform light data engineering tasks.
  • Finance background candidates not a strong fit.

Responsibilities

  • Build and maintain models aligning advertising inventory with subscriber viewing profiles.
  • Forecast advertising capacity: sold vs unsold airtime, acquired vs owned inventory.
  • Work with first- and third-party data sources.
  • Incorporate newly integrated first-party data into existing models.
  • Collaborate with a cross-functional team following CI/CD practices.
  • Take on light data engineering tasks to support modeling.

Skills

Practical data science
Independence
Team collaboration
CI/CD familiarity
Light data engineering

Tools

Python
SQL
Snowflake
AWS
SageMaker
Airflow
PySpark

Job description

ManpowerGroup in Charlotte, NC is seeking a Data Scientist for a contract role focused on advertising inventory modeling and capacity forecasting. You will work with first-party and third-party data in a fully cloud-based environment to deliver actionable insights and forecast capacity.

The role combines modeling with light data engineering tasks and collaboration within CI/CD governed workflows. The ideal candidate provides practical DS experience, can work independently, and contribute to team

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