Applied Science / Data Science Leader

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.

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

8+ 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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