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 $110,000 - $135,000, depending on skills and experience. We take a geo-neutral approach to compensation within the US & Canada, 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.
Why Muck Rack?
Remote Work, Forever. We’re a fully distributed team and have pledged to remain that way forever. We offer employees a full home office setup, phone & internet reimbursement, and a monthly coworking membership. We build culture through virtual and in-person team bonding opportunities including team lunches, friendly competitions, and celebratory events!
Transparent Compensation. We offer competitive geo-neutral pay in the U.S. and review compensation at least once annually to ensure internal equity and alignment with the external market. Depending on the role, we offer either a standardized bonus program or attainable commission structure and an opportunity to earn equity in the company. All employees are eligible for our 401(k) plan* with employer contributions.
Health & Wellness*. Muck Rack provides comprehensive health, dental, vision, disability and life insurance for employees and their families. We offer a high-deductible health plan with 100% premium coverage for individuals, as well as a range of other plan options. Our team also has access to 24/7 Virtual Care, an Employee Assistance Program, employer-funded HSA contributions, and other pre-tax benefits. Team members have access to a quarterly wellness stipend and a free Headspace subscription.
PTO and Family Benefits. Our team enjoys 4+ weeks of off-the-grid PTO, paid sick/mental health days and 13 paid holidays, which can be exchanged for additional PTO with our "Holiday Swap Program." We also provide up to 16 weeks of fully paid parental leave.
Personal & Professional Development. We grow talent by creating internal pathways for advancement and promotion. Muck Rack conducts bi-annual performance reviews, hosts team-wide workshops, and offers management training and leadership training opportunities. We also provide unlimited subscriptions to L&D platforms including Coursera & O’Reilly, as well as 2 additional days of PTO to dedicate to learning and development.
Culture of Inclusion. We know that diverse perspectives breed innovation and help us better serve our customers. We are committed to ensuring employees feel their identities are valued and that people of all backgrounds and points of view are treated equitably.
Customer-First. Founder-controlled means we have the freedom to be nimble, highly collaborative and innovative, building forward-thinking products that enable 3,000+ companies around the world to build trust, tell their stories and demonstrate the unique value of earned media.
*These benefits are specific to US-based employees. In some, but not all, cases we are able to offer equivalent benefits to employees located outside of the United States.
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.
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