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.

Accountabilities

• 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

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• 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

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• 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
  
  

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.