Director, Analytics & Data Science

The Opportunity We are seeking an experienced Data Scientist to join the Pro Design team! You will partner closely with Marketing, Product, and Engineering teams to develop data science insights and solutions that inform our overall product/business strategy, acquisition strategies, optimize retention, and forecast demand. Your work will directly influence the Pro Design roadmap by uncovering growth levers and patterns in user behavior, acquisition channels, and user churn dynamics. ## What you'll Do - Define and drive a culture of analytical rigor, including implementing scalable tools and processes that drive visibility, accountability, and action. - Develop and refine customer segmentation models using unsupervised learning techniques to identify behavioral clusters and inform targeting strategies. - Build and maintain forecasting models (e.g., ARIMA, Prophet) to predict demand and user engagement trends. - Define and exemplify the value of customers over and develop strategies to improve it in acquisition and retention processes. - Lead churn modeling initiatives to proactively identify at-risk users and recommend mitigation strategies. - Create reusable machine learning pipelines and data artifacts that scale across the organization. - Collaborate with cross-functional teams to design experiments and interpret results, including A/B testing and cohort analyses. - Share complex modeling outcomes and insights with both technical and non-technical collaborators. ## What you need to succeed - 10+ years of experience in data science or advanced analytics. - Proven track record in building high performing data science/analytics teams that are diverse, highly collaborative, and work across functions and geographies. - Strong communication skills and a track record of influencing stakeholders, peers, and leaders. - Strong proficiency in Python and SQL for data manipulation, modeling, and analysis. - Experience with Databricks or similar cloud-based data platforms. - Deep understanding of time series forecasting, including ARIMA, Prophet, and other statistical models. - Proven ability to build and deploy unsupervised learning models for customer segmentation. - Expertise in data visualization tools like Tableau or equivalent. - Strong foundation in statistical modeling, experimentation, and lifecycle analytics. - Ability to work independently and lead complex projects from ideation to delivery. - BS degree in computer science or a related degree is required or equivalent practical experience.

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