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Data Scientist, Data Science Team

The College Board

$150,000 - $163,000
Aug 20, 2025
Remote, US
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The Data Science team at College Board aims to provide critical insights and tools to optimize test delivery, development, and security by leveraging data analysis, machine learning, and software engineering. The role seeks to improve processes that are expensive or impossible to perform without machine learning, supporting strategic decisions and the new digital testing platform.

Requirements

  • Programming expertise in Python (Pandas)
  • Experience in data and statistical analysis
  • Proven experience in developing Machine Learning (ML) and Deep Learning (DL) solutions to solve real-world problems.
  • Experience with SQL and NoSQL databases.
  • Knowledge in CI/CD, DevOps and Agile
  • Knowledge in developing applications on an Serverless or Microservices cloud platform (AWS/Azure/GCP, etc.)
  • Create reproducible, documented analyses and models that lend themselves to automation

Responsibilities

  • Design and implement high quality software using the latest and greatest cloud and machine learning technologies
  • Independently manage and complete all the work needed to deliver small or medium sized applications and analyses on time and at a very high level of quality
  • Help identify and build major components of complex machine learning models
  • Judiciously evaluate the effectiveness and fairness of models and articulate considerations and concerns around implementing models in the context of the business application
  • Build functions, APIs, and data stores to make predictions and analyses accessible to other systems
  • Create insights from existing data and drive the collection of new data
  • Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations

Other

  • Ideally a Master’s in a quantitative discipline or computer science, or a Bachelor’s and 2-3 years related experience, or 3+ years related experience.
  • A passion for solving difficult problems creatively.
  • Excellent communication and listening skills, and are able to help others understand both problems and solutions.
  • The ability to tell a story with your data.
  • Worked within a close knit team and enjoy helping your colleagues succeed