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 Public Relations Management (PRM) platform enables PR teams to work together to find the right journalists for their stories, send customized pitches, build meaningful relationships with the media, monitor news, and quantify their impact.

Founder controlled, fully distributed, and growing sustainably, Muck Rack has received several awards for its unparalleled culture and product from organizations like Inc., G2, and BuiltIn. We value resilience, transparency, ownership, & customer devotion and infuse these values into everything we do.

We’re looking for a senior data scientist to join our quickly growing team and make a big impact.

As a senior 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:

  • 5+ 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

If any of the below also describe you, this could be an exciting opportunity:

  • Worked on a complex, high-traffic site at a startup or software-as-a-service company, ideally with large amounts of data
  • Experience with text modeling, NLP, and large language models
  • Interest in search
  • Interest in journalism, news, media, or social media

In addition, we’re always looking for candidates who:

  • Perform an analysis to make a recommendation to other team members as to whether data science methods can be used to solve a given problem
  • Research and evaluate new analytical methodologies, approaches, and solutions
  • Build, test, and deploy supervised or unsupervised learning models
  • Write queries (SQL, elastic search) to grab the right set of data to solve their problem
  • Build tools to enable other data scientists to scale their knowledge and increase impact
  • Interpret and communicate analytic results to analytical and non-analytical business partners and executive decision makers
  • Participate in code reviews and model reviews of their teammates

Interview Overview

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)


The starting salary for this role is between $140,000 – $172,000, depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. For all other countries, we have competitive pay bands based on market

Job Overview
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