Senior Director, Data Science And Analytics
Remote, Us
• Led 10-person team that created data science features, audience insights, and business intelligence that resulted in delightful product features and elevated business decision making.• Deployed machine learning models, optimization algorithms, natural language processing, and conventional statistical analysis (e.g. Convolutional Neural Nets, Gradient Boosted Decision Trees, OLS Regression) using Scala, Python, and R on Databricks, AWS, R Shiny and Tableau for results that were accurate, performant, and interpretable.• Applied data science methods to a diverse portfolio that included SaaS-based learning technologies, automated assessment applications, and large-scale assessment results.• Wrote 3-year strategic roadmap that provided vision, methodology, and project proposals that resulted in executive leadership support and service level agreements with product owners.• Hired, managed and engaged data science team (Ph.D.-level) that was technically sophisticated, socially diverse, and responsive to stakeholder requirements. Used SAFEAgile methods to distribute projects with team across multiple time zones. • Provided thought leadership through peer-reviewed publications and conferences, as member of grant advisory boards, and through internal presentations and workshops to elevate company reputation and visibility of analytical results.