via Remote Rocketship
$0K - 0K a year
Not applicable, as the role is not aligned with your experience.
The role demands extensive experience in data science, analytics, AI/ML, and technical tools like SQL, Python, Snowflake, and advanced experimentation platforms, which are not part of your skill set.
Job Description: • Own end-to-end site analytics and performance trends, including funnel health, conversion metrics, and behavioral analysis across all key customer and supplier journeys. • Design and execute advanced statistical models and analyses to deeply understand user behavior, identify key drivers of growth, and forecast business metrics. • Oversee and interpret A/B/n test results from experimentation platforms (like Eppo), providing definitive, statistically sound guidance on design, content, and feature decisions. • Establish and maintain the data governance framework for web analytics and behavioral data, ensuring high fidelity, integrity, and compliance across all instrumentation (GA, FullStory, Amplitude, etc.). • Lead executive-level metric and trend reviews, translating complex data science and analytical findings into clear, actionable business strategies for the broader Product & Technology leadership team. • Influence the technical roadmap for data tooling, including the selection and configuration of all web analytics, session replay, and experimentation systems to maximize team efficiency and insight generation. • Lead and develop a team of Analysts and Data Scientists, setting the strategic roadmap for data insights, model deployment, and experimentation practices across the organization. • Drive the integration of AI/ML to enhance site personalization, predictive customer segmentation, and automated anomaly detection, moving beyond descriptive reporting to prescriptive action. Requirements: • 10+ years of progressive experience in digital product, web analytics, or data science leadership for a B2B/B2C technology, e-commerce, or marketplace company. • Proven experience leading, mentoring, and scaling a team that includes both product analysts and data scientists. • Deep expertise in applying AI/ML techniques to solve business problems such as personalization, predictive modeling, and demand forecasting. • Expert-level familiarity with the modern data stack: SQL, Python/R, cloud data warehouses (Snowflake), and advanced product experimentation tools (Eppo, Optimizely, LaunchDarkly). • Mastery of core analytics platforms: Google Analytics (GA4), Amplitude, Adobe Analytics, DataDog, and qualitative tools (FullStory, Hotjar). • Exceptional critical thinking, with a deep understanding of advanced funnel analysis, causal inference, A/B testing methodologies, and behavioral diagnostics. • Demonstrated ability to influence product and business strategy by communicating complex technical findings and data science concepts clearly to executives and cross-functional partners. • Experience in defining site experience KPIs, event instrumentation requirements, and running high-impact Conversion Rate Optimization or web experiment roadmaps. • A strong strategic bias toward action, using data not just to report on performance but to proactively connect insights to future business outcomes. Benefits: • Market competitive salary • Stock options that you’ll help make worth a lot • 12 paid holidays • Flexible PTO • 401K with ezCater match • Health/dental/FSA • Long-term disability insurance • Mental health and family planning resources • Remote-hybrid work from our awesome Boston office OR your home OR a mixture of both home and office
This job posting was last updated on 12/23/2025