Senior Data Scientist

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist in United States.

This role offers a unique opportunity to drive strategic decisions by applying advanced data science techniques to real-world business and product challenges. You will work closely with cross-functional stakeholders to develop predictive models, generate actionable insights, and inform product and business strategy. The position involves both research and hands-on model development, from hypothesis generation to end-to-end implementation and monitoring. You will contribute to defining key metrics, improving experimentation, and enhancing data-driven decision-making across the organization. This role thrives on collaboration, critical thinking, and delivering measurable impact, while fostering a culture of analytical rigor and continuous learning. You will also mentor team members and help raise the overall data fluency of the organization, all within a fully remote, dynamic environment.

• Partner with product, engineering, and business teams to identify high-value questions and generate actionable insights
• Build, validate, and deploy predictive and statistical models that influence business outcomes and product decisions
• Conduct research projects and data investigations to support strategic initiatives
• Develop quantitative models to aid in forecasting, experimentation, and decision-making
• Present data insights to executives and cross-functional stakeholders in a clear, actionable manner
• Mentor colleagues in analytical methods and data science best practices
• Contribute to the organization’s broader data culture and help establish scalable, rigorous analytics frameworks

Requirements:

• 4–6 years of experience as a data scientist with a proven track record of driving business impact through data
• Proficiency in Python (strongly preferred) and SQL for data analysis and model development
• Experience building, validating, and deploying predictive or statistical models
• Strong collaboration skills, with experience partnering across teams and presenting to executive leadership
• Ability to translate complex data into clear insights and actionable recommendations
• Familiarity with machine learning engineering practices, experimentation, and modeling applied to product or business strategy
• Experience in subscription, membership, or social platform analytics is a plus

Benefits:

• Competitive base salary ($165,000–$205,000 USD)
• Fully remote work with colleagues across the U.S. and internationally
• 100% covered healthcare for employees, 70% for dependents
• Generous parental leave and unlimited PTO
• Mental health support and financial wellness programs
• Stipends for professional development, co-working, wifi, and a home office setup
• Discounted company membership and opportunities for career growth