Senior Data Scientist, AI Products in United States at Jobgether

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

Join a fast-moving AI-focused product organization where data science plays a central role in shaping innovative user experiences and scalable AI capabilities. This opportunity places you at the intersection of product strategy, machine learning, experimentation, and business impact within a highly collaborative startup-like environment. You will work closely with Product, Engineering, Design, and leadership teams to influence roadmap decisions and build data-driven foundations for next-generation AI products. The role combines deep analytical problem-solving with strategic thinking, allowing you to drive measurable outcomes from early-stage product initiatives. You’ll have the opportunity to contribute to a culture that values experimentation, technical ownership, and rapid iteration while helping define the future direction of AI-powered solutions. This position is ideal for a highly autonomous data scientist passionate about translating complex data into actionable business and product insights.

• Partner with Product Engineers and Data Engineers to build scalable, reliable, and efficient data foundations that support AI and machine learning initiatives.
• Leverage data-driven insights to identify high-impact opportunities and directly influence product strategy, roadmap decisions, and business priorities.
• Conduct exploratory analysis, deep-dive investigations, and rigorous experimentation to better understand user behavior, workflows, and engagement with AI-powered features.
• Design and execute statistical analyses and experiments to evaluate product performance and optimize user outcomes.
• Translate complex analytical findings into clear business recommendations and actionable insights for both technical and non-technical stakeholders.
• Prioritize initiatives effectively in a fast-paced environment, focusing on projects with the greatest strategic and business impact.
• Collaborate cross-functionally with Product, Engineering, Design, User Research, and executive leadership to accelerate execution and product iteration.
• Contribute to evolving data science best practices, technical standards, and a culture of strong analytical ownership across the organization.
• Support the growth of AI/ML product capabilities through continuous experimentation, measurement, and optimization.

• Bachelor’s degree or higher in Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or another quantitative discipline.
• 7+ years of experience leveraging data analysis to influence product development, strategic decisions, and measurable business outcomes within technology environments.
• Strong experience working on AI/ML-driven products, data-informed experimentation, or intelligent product ecosystems.
• Advanced proficiency in SQL, Python, and data analysis or scripting tools.
• Deep understanding of statistical analysis, experimentation methodologies, regression models, decision trees, and related analytical techniques.
• Ability to provide meaningful recommendations and insights in early-stage or 0→1 product environments, even with limited datasets.
• Proven track record of independently driving projects and proactively engaging with stakeholders across multiple business functions.
• Strong communication and storytelling abilities, with experience translating technical insights into business impact.
• Ability to thrive in highly collaborative, fast-evolving, and ambiguous environments.
• Experience with SaaS products, AI product development, or startup environments is strongly preferred.
• Strong problem-solving mindset with excellent prioritization and strategic thinking capabilities.

• Competitive compensation package with salary aligned to experience and geographic location.
• Fully remote work opportunity within eligible U.S. locations.
• Opportunity to contribute to cutting-edge AI and machine learning product innovation.
• Collaborative, startup-style environment with high visibility and influence on product direction.
• Exposure to cross-functional leadership and strategic decision-making processes.
• Professional growth opportunities within a rapidly evolving AI-first organization.
• Flexible and dynamic work culture focused on experimentation, ownership, and impact.
• Opportunity to work alongside highly experienced product, engineering, and data science teams.
• Inclusive workplace committed to equal opportunity and diversity.
• Chance to shape foundational AI products from the ground floor and drive long-term business impact.