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
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 team wide brainstorming sessions to collaborate on models and algorithms throughout the team
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)
Salary
The starting salary for this role is between $140,000 - $165,000 CAD, 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 standards.
Remote Work, Forever
- Fully distributed team with a permanent remote setup
- Home office stipend, phone and internet reimbursement, coworking membership
- Virtual and in-person team bonding (lunches, events, competitions)
Transparent & Fair Compensation
- Competitive geo-neutral pay in the U.S.
- Annual reviews to ensure equity and market alignment
- Standardized bonus or commission structure
- 401(k) with employer contributions
- Equity opportunities
Health & Wellness
- Comprehensive medical, dental, vision, disability, and life insurance for employees and dependents
- 100% premium coverage for individuals on high-deductible plans
- 24/7 Virtual Care and Employee Assistance Program
- Employer-funded HSA contributions and other pre-tax benefits
- Quarterly wellness stipend and free Headspace subscription
Time Off & Family Benefits
- 4+ weeks of PTO, plus paid sick and mental health days
- 13 paid holidays with the option to swap for personal days
- Up to 16 weeks of fully paid parental leave
Learning and Development
- Transparent pathways for internal mobility and promotion
- Bi-annual performance reviews, team workshops, and leadership training
- Unlimited access to Coursera and O’Reilly
- 2 additional PTO days annually for learning and development
Inclusive, Customer-First Culture
- Commitment to equity and valuing diverse perspectives
- Agile, founder-led company focused on collaboration and innovation
- Trusted by 3,000+ companies worldwide
Note: Benefits and compensation reflect offerings for U.S.-based employees. Support is provided for employees in other locations, in compliance with local laws and regulations.
While we are a fully distributed team, we do have limitations on where we can hire and maintain a list of acceptable working locations based on job function. If we are unable to hire in your current location for the role for which you applied, you will be notified via email. While we enjoy many benefits as a permanently distributed and remote company, we cannot always support relocation or extended travel and have guidelines in place to ensure compliant work away from your designated permanent residence.
#LI-Remote
Muck Rack does not accept unsolicited resumes from search firms or any other third parties. Any unsolicited resume sent to Muck Rack will be considered Muck Rack property, and Muck Rack will not pay a fee should it hire the subject of any unsolicited resume.Muck Rack considers applicants for all positions on the basis of merit, qualifications, and business needs, and without regard to race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, alienage or citizenship status, ancestry, marital status, genetic predisposition or carrier status, veteran status, familial status, status as a victim of domestic violence, or any other status or characteristic protected by applicable federal, state, or local law.Note to applicants/job seekers: We have recently been made aware of scams impersonating Muck Rack’s HR team. Please be cautious of these attempts to elicit banking or other financial or sensitive information. Muck Rack will never request financial information during the interview process, and follow ups for interviews or next steps will always come from an ‘@muckrack.com’ email address. If you are contacted by anyone from a different domain who claims to be from Muck Rack, please forward the communication to [email protected].
