Data Scientist

Radius is a fast-growing, startup in the heart of San Francisco. Radius applies advanced data science to deliver the freshest, accurate, and comprehensive view of 20M+ US companies―from small businesses to the largest enterprises -- to our robust portfolio of customers. We build cutting-edge machine learning solutions that help our customers discover markets, acquire customers, and measure performance through an app that’s intuitive, secure, and enterprise-ready.

As a Data Scientist on the Insights team, you will be responsible for helping build and continuously improve the quality of our Network of Record, by solving complex and ambiguous problems and working cross-functionally throughout the pipeline to drive quality improvements. In this role, you will own identifying and generating the metrics needed to monitor the quality of The Network of Record. In addition, you will be conducting research into understanding the dynamics of Radius data and how it can be better utilized to deliver value to our customers.


  • Analyze and become intimately familiar with our data sources and our data processing pipeline with the goal of improving The Network of Record
  • Provide teams with ad-hoc analysis, reports and dashboards reflecting the state and quality of the data, leveraging best statistical practices
  • Develop new methodologies for data validation
  • Work with business stakeholders and customers to define operational solutions to data problems, and guide these solutions through to production
  • Drive data-driven decision making throughout the company


  • 2+ years experience using Python for analyzing or processing data
  • Fluency extracting insights from sizable data sets
  • Curious and passionate about understanding data
  • Experience with statistical analysis languages such as R and SQL
  • Degree in statistics or related field or related experience
  • Experience using ML models to solve business problems

Additional Preferred Qualifications:

  • Experience coding in an object-oriented language: Java, C++, Scala, etc.
  • Experience with distributed computing frameworks such as Spark and Hadoop
  • Professional experience running ETL or similar processes on large datasets  
  • Comfortable working in Linux environment

Radius is an Equal Opportunity Employer.

Meet Some of Radius's Employees

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