Data Scientist Muck Rack
- Remote, United States
- Full-time
- Remote
- USD $110,000 - $135,000 per year
Muck Rack is a leading SaaS platform designed for public relations and communications professionals, enhancing the PR workflow with AI-driven solutions. This Data Scientist role will contribute to Muck Rack's mission of building trust and showcasing the unparalleled value of earned media. The technology team prioritizes scaling, quality, and customer-focused experiences, aiming to deliver seamless collaborations and effective results.
In this role you can expect to have the responsibilities:
- Develop Machine Learning technologies with a focus on user experience enhancement.
- Collaborate on significant technical projects involving large datasets.
- Lead the development of new platform features.
- Shape engineering culture and process improvements.
- Conduct data analysis to advise on problem-solving methods.
- Research and implement novel analytical methodologies.
- Build and deploy Machine Learning models.
- Utilize SQL and elastic search for data retrieval.
- Enhance tools for data scientist collaboration and impact.
- Communicate analytical findings to non-technical stakeholders.
- Engage in collaborative brainstorming for model and algorithm development.
This role comes with the following benefits:
- Remote work setup, internet reimbursement, and coworking membership.
- Competitive geo-neutral compensation with annual reviews.
- Health, dental, vision, and life insurance plans.
- Generous PTO and parental leave policies.
- Access to L&D platforms and professional growth opportunities.
- Inclusive company culture promoting diverse perspectives.
This role requires you to have:
- 2-3 years of experience with Machine Learning or statistical analysis.
- Proficiency in Python for data analysis and Machine Learning.
- Capacity for autonomous work and innovative thinking.
- Ability to collaborate effectively across team functions.
You would benefit from having:
- Experience with high-traffic sites or SaaS companies handling large datasets.
- Knowledge of text modeling and NLP.
- Interest in search technologies and media-related domains.
Muck Rack emphasizes a diverse and inclusive workplace, encouraging applicants from all backgrounds to apply. The company adheres to equal opportunity employment practices and advises caution against recruitment-related scams.
The content on this page is not written or managed by Alooba. Please reach out to Muck Rack directly for any addtional information regarding this role.