Product Manager for Data Science

Radius is a fast-growing, venture-backed startup in the heart of San Francisco. Radius applies advanced data science to deliver the freshest, most accurate, and most comprehensive view on 20M+ US companies—from small businesses to the largest enterprises. 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.

Radius is looking for a technical and data-oriented Product Manager to join our Data Science team. In this role, you’ll own the product vision and work broadly across Radius, help enhance the Business Graph by building machine learning prototype models and providing insights, analytics, and key business metrics. The team measures data quality with help from human evaluators and runs data explorations and data science investigations on Radius Business Graph consisting of billions of data points. You have solid technical understanding, deep experience working with complex software systems and extensive experience with large datasets, machine learning, and CRM. You’ll work closely with our data scientists, data engineers, product managers, executives, and strong communication skills are needed. You can articulate a big vision and break it down into actionable steps.

• Work with internal product, engineering, and data science teams to help build and optimize machine learning models and perform experimental hypothesis testing on various predictive data signals
• Own the internal human evaluation teams and platform (similar to Amazon Mturk)
• Act as a product owner in our Scrum development environment, including: owning roadmap, creating opportunity assessments, writing functional requirements and running sprint planning
• Collaborate cross functionally across customer success, support, marketing and teams

• Strong technical background with 4+ Product Management experience with a data science product
• Experience with one or more of these technologies: Statistical tools such as Weka, Hadoop, Spark, or Machine Learning
• Exposure to platforms such as Amazon MTurk, CrowdFlower
• Experience with Agile methodologies such as Lean Startup, Scrum, etc.
• Excellent verbal and written communication skills
• Excessive entrepreneurial drive and / or recent startup experience preferred
• BS/BA in Computer Science or related field