Data Science Manager

About the Role

Our Applied Science / Data Science team is a world-class organization focused on using data, experimentation, machine learning, and AI to shape product strategy and accelerate business growth. We partner closely with Product, Engineering, Marketing, Sales, and Customer Success to build intelligent products, optimize customer experiences, and drive measurable business impact.

This will be a leadership role overseeing our applied science / data science team and you will lead a team of high-performing data scientists responsible for solving some of the company's most strategic product and business challenges. You will define the vision for applied data science across multiple product areas, develop innovative analytical and machine learning solutions, and partner with senior leaders to influence company strategy. This is a highly visible leadership role that blends people management, technical excellence, and cross-functional influence.

This hybrid role is based in our New York office, with in-office collaboration Tuesday through Thursday each week.

What You'll Accomplish

• Lead, mentor, and grow a team of Applied Scientists / Data Scientists, fostering technical excellence and career development
• Define and execute the applied data science roadmap in partnership with Product, Engineering, and executive stakeholders
• Drive the development of statistical models, machine learning solutions, experimentation frameworks, and causal inference methodologies to improve product performance and customer outcomes
• Establish best practices for experimentation, measurement, forecasting, and decision-making across the organization
• Translate ambiguous business problems into scalable analytical and machine learning solutions
• Influence product strategy by identifying opportunities through deep analysis of customer behavior, experimentation, and business performance
• Partner closely with engineering teams to operationalize models and deploy production-ready solutions
• Present insights and recommendations to senior leadership and executive stakeholders to influence strategic decisions
• Build a culture of scientific rigor, operational excellence, and continuous innovation across the data science organization

Your Expertise

• Master's or Ph.D. in Statistics, Computer Science, Economics, Operations Research, Mathematics, Machine Learning, or a related quantitative field; Bachelor's degree with equivalent industry experience also considered
• 5+ years of experience in Data Science, Machine Learning, Analytics, or related disciplines
• 3+ years of experience managing and developing high-performing data science teams
• Deep expertise in experimentation, causal inference, statistical modeling, predictive modeling, and machine learning
• Experience partnering closely with Product and Engineering organizations to deliver data-driven product improvements
• Strong proficiency in Python and SQL with experience working on large-scale datasets
• Excellent communication skills with the ability to influence executive stakeholders through data-driven storytelling
• Demonstrated success leading cross-functional initiatives from ideation through production

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants

• The US base salary range for this full-time position is $320,000 - $380,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.