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Ladders

Senior Data Scientist, AI Products

Department
Research
Job Type / Location
remote
Experience Required
7+ years
Posted On
For our client, we are seeking a Senior Data Scientist AI Products to join the team of a leader in the Consumer Technology space. This role will lead initiatives at the intersection of scalable technology, AI-enabled capabilities, and business transformation. You will collaborate with analytics, product, creative, and commercial teams to turn market insights into scalable campaigns and performance improvements. The position offers the opportunity to directly influence customer engagement, conversion performance, and revenue growth within a technology-driven environment. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $173,700 - $234,900 annually Responsibilities Collaborate with engineers to create scalable data foundations for AI/ML growth Identify key opportunities through data analysis to influence product strategies Conduct in-depth analyses of user behavior on AI features and design experiments Communicate complex data insights clearly to stakeholders and the business Prioritize critical tasks for your area of responsibility Foster a culture of technical ownership and contribute to evolving data science practices Work closely with cross-functional teams to drive rapid execution and iteration Qualifications Bachelor's or above in a quantitative field (Statistics, Computer Science, etc.) 7+ years of experience driving data-driven decision-making in a tech environment Track record of independent work and measurable business impact Proficiency in SQL, Python, or similar programming languages Expertise in statistical analysis and experimentation design Ability to provide insights for emerging products with limited data Strong verbal and written communication abilities Benefits Opportunity to shape an AI-first mission from the ground up Engagement with a high-caliber team of data scientists and product leaders Direct influence on product roadmaps and user engagement strategies Culture that emphasizes data-informed decision-making and innovation Cross-functional collaboration with varied teams for diverse insights Dynamic work environment with the potential for rapid iteration and impact Our client is an equal opportunity employer. We encourage you to apply even if you don't meet every qualification--your background could be exactly what this team needs.

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