Risepoint assists primarily regional universities in increasing their access and impact by making their academic programs available to students online. Risepoint brings single-minded dedication to student success, an integrated set of services, and data-driven performance to our collaboration with university partners. The company is seeking a Director, Data & Analytics to lead and grow their Advanced Analytics team and drive impactful machine learning and advanced analytics initiatives across the organization.
Requirements
- 8+ years in data science, advanced analytics, or machine learning roles.
- 2+ Years of experience in technical leadership capacity.
- Proven experience deploying machine learning models at scale in production environments.
- Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with modern data stacks: cloud data warehouses e.g. Snowflake, (DataBricks preferred), dbt cloud, MLOps.
- Experience with NLP, recommendation systems, causal inference, and/or time-series forecasting.
- Experience managing and growing technical talent.
Responsibilities
- Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes.
- Build, mentor, and lead a high-performing, collaborative team of data scientists.
- Partner closely with Sales, Product, Marketing, Customer Success, Technology, Finance, and other teams to drive impactful data science initiatives.
- Translate complex, ambiguous problems into structured, actionable analytical solutions.
- Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions.
- Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement
- Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs
Other
- A bachelor’s degree in computer sciences, Engineering, or similar quantitative field.
- Masters in a quantitative field in preferred.
- Excellent communication and stakeholder management skills.
- Strong communication skills and ability to influence across data, product, engineering, and business teams
