Director, Data Science

Description • Lead the strategic direction and execution of data science initiatives for Risepoint's innovative Student Journey Platform, a system designed to proactively understand and address student needs. • Drive the development and implementation of cutting-edge machine learning models, overseeing their entire lifecycle from initial discovery and development through to production deployment, ongoing governance, and continuous monitoring. • Architect and build robust frameworks for extracting high-signal insights from diverse data sources, including voice, text, and behavioral interactions, leveraging both classical Natural Language Processing (NLP) techniques and advanced Large Language Models (LLMs) and generative AI. • Integrate disparate data signals to construct a unified, real-time view of student intent and overall experience, enabling personalized interventions and support. • Spearhead the technical product analytics and experimentation roadmap, employing rigorous statistical methods such as A/B testing, feature rollouts, and behavioral studies to ensure AI-powered product decisions are data-driven. • Define and implement stringent evaluation standards for both generative and predictive AI features, ensuring their accuracy, reliability, and effectiveness in real-world applications. • Foster a culture of ownership, analytical rigor, and rapid iteration within a multidisciplinary data science team, promoting technical excellence and continuous improvement. • Collaborate closely with Product Management and Engineering teams to define key technical success metrics that directly translate into measurable business Return on Investment (ROI). • Translate complex technical concepts, model outcomes, and analytical findings into clear, compelling narratives for executive leadership, driving alignment and facilitating strategic decision-making. • Ensure the predictive precision of models, enabling them to accurately anticipate student needs, trigger timely interventions, and demonstrably improve with each interaction. • Transform conversational data (voice and text) into a strategic asset, establishing it as a structured, queryable source of truth that informs product development and operational strategies. • Implement a comprehensive AI evaluation and monitoring program for critical AI-enabled features, including scorecards, performance thresholds, and proactive alerting for any regressions. • Establish a standardized conversational taxonomy and develop recurring reporting mechanisms across voice and text interactions to identify key drivers, track trend movements, and highlight emerging issues. • Drive measurable improvements in at least two key student or operational outcome metrics through the application of data science-led strategies and interventions. • Develop and maintain a prioritized roadmap of Machine Learning (ML) and analytics initiatives, clearly defining owners, success metrics, and decision timelines, reviewed on a regular cadence. • Guide the team in building and refining models for next best action, propensity scoring, and proactive interventions, ensuring they are optimized for student success and institutional efficiency. • Enhance the multimodal intelligence capabilities by integrating signals from various interaction channels to create a holistic understanding of the student journey. • Champion the use of data science to personalize student experiences, ensuring that interventions and guidance are tailored to individual needs and circumstances. • Contribute to the ethical development and deployment of AI, ensuring fairness, transparency, and accountability in all data science applications. • Stay abreast of the latest advancements in AI, ML, NLP, and generative AI, evaluating their potential application to enhance Risepoint's offerings and student outcomes. • Mentor and develop team members, fostering their professional growth and empowering them to take on challenging projects and leadership opportunities. • Act as a key technical advisor, providing insights and recommendations on data strategy, ML infrastructure, and analytical best practices. • Ensure that data privacy and security protocols are rigorously adhered to in all data science activities. • Drive a data-informed culture across the organization, promoting the use of insights to guide strategic planning and operational improvements. • Measure and report on the impact of data science initiatives, demonstrating value and informing future investments. • Collaborate with cross-functional teams to identify new opportunities for leveraging data science to solve business problems and improve the student experience. • Develop and maintain strong relationships with university partners, understanding their unique challenges and opportunities for data-driven solutions. • Ensure the scalability and efficiency of data science solutions to support Risepoint's growing user base and program offerings. • Advocate for best practices in data

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