Muck Rack is the leading SaaS platform for public relations and communications professionals. Our mission is to enable organizations to build trust, tell their stories, and demonstrate the unique value of earned media. Muck Rack’s AI-powered, comprehensive, and integrated platform streamlines the PR workflow to help businesses generate positive media coverage, monitor mentions to manage brand reputation, and analyze PR’s impact on business outcomes. By combining media database, monitoring, and reporting into one dynamic platform, we empower teams to collaborate seamlessly, pitch effectively, and analyze results faster and more efficiently.
Founder-controlled, fully distributed, and growing sustainably, Muck Rack has received several awards for its unparalleled culture and product from organizations like Inc., Quartz, G2, and BuiltIn. We value resilience, transparency, ownership, and customer devotion, and infuse these values into everything we do.
We’re looking for a Data Scientist to join our quickly growing team and make a big impact.
As a data scientist in the Tech org, you’ll work closely with data scientists, software engineers, product managers, and designers, to develop Machine Learning technologies which help simplify the jobs of our users. You’ll work on major technical projects with large data volumes, lead the building of new features, and help shape our engineering culture and processes. Our technology team is focused on scale, quality, delivery, and thoughtful customer experience.

TO BE SET UP FOR SUCCESS IN THIS ROLE, YOU’LL NEED TO HAVE:

• 2-3 years total professional experience with Machine Learning or Statistical Analysis
• A capacity for a high degree of autonomy and out-of-the-box thinking
• The ability to write sophisticated data analysis & machine learning code in Python
• A commitment to collaborating closely with other engineers and across functions

Below you’ll find an outline of the interview plan for this role. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

• 30 min interview with a member of our Talent Team
• 1 hour zoom interview with the hiring manager
• Take-home coding assignment (2 hours max)
• Peer interviews, including a 30 min code review discussion
• Final call(s) with executive team member(s