EX Squared is hiring a Director of Consumer Data Science (Remote - US)

This position is being sought through a talent matching platform on behalf of a partner organization. We are currently seeking a Director of Consumer Data Science in the United States. This role spearheads a transformative consumer data science team focused on leveraging data to inform product, marketing, advertising, and strategic business decisions. The Director will pioneer advanced quantitative modeling, experimental design, and analytical techniques to generate actionable insights across multiple organizational domains. This position demands strategic leadership, profound technical expertise, and the capacity to influence senior executive leadership. The incumbent will construct and expand a diverse team of data scientists, machine learning engineers, and analytics professionals, reinforcing data infrastructures while ensuring organizational trust, scalability, and scientific rigor. This represents a distinctive opportunity to architect the data science culture and capabilities of a dynamic, highly-engaged consumer platform. Accountabilities: · Manage the consumer data science organization, encompassing data science, machine learning, analytics, and data engineering teams. · Collaborate with cross-functional leaders across Product, Engineering, Marketing, Ads, and Finance to deliver clear, strategic insights. · Establish and maintain rigorous standards for data science quality, governance, and reproducibility. · Serve as an organizational thought leader in data science, machine learning, experimentation, and measurement. · Cultivate leadership talent within the team and develop a robust technical talent pipeline. · Enhance understanding of complex ecosystems, consumer behaviors, and community interactions through sophisticated data modeling and experimentation. Requirements: · 10+ years of experience in data science, machine learning, or quantitative analytics, with 5+ years in senior leadership roles. · Demonstrated capability to define, articulate, and execute a data strategy driving measurable business outcomes. · Comprehensive expertise in data science, causal inference, machine learning, experimentation, and contemporary data platforms. · Robust technical and scientific foundation with experience building and scaling data science and analytics teams. · Exceptional interpersonal, communication, and collaborative skills; ability to present objective insights to executives and cross-functional teams. · Proven track record of developing senior talent and fostering a high-performance, multidisciplinary organization. Benefits: · Competitive base salary: $260,800—$365,100 USD · Equity through restricted stock units · Comprehensive healthcare coverage and income replacement programs · 401(k) with employer match · Family planning support and gender-affirming care · Mental health and coaching benefits · Flexible vacation and global company days off · Generous paid parental leave and volunteer time off Our talent matching platform utilizes advanced AI-driven screening to efficiently connect exceptional candidates with optimal opportunities. The AI comprehensively evaluates professional profiles, analyzing skills, experience, and achievements. Profiles are compared against role requirements and historical success metrics to generate precise match scores. The top three candidates are automatically shortlisted through a transparent, skills-based process free from bias. The platform's hiring team will make final selection decisions. #LI-CL1