Sr Data Scientist

Duties And Responsibilities

• Design, develop, validate, and deploy machine learning models to improve operational efficiency, decision-making, and student success outcomes.
• Build predictive models and intelligent decision-support tools for use cases such as enrollment marketing, student advising, course engagement, persistence, and retention.
• Develop and implement LLM-powered solutions by leveraging popular LLM APIs for university stakeholders.
• Evaluate emerging AI and machine learning technologies and recommend practical adoption strategies aligned with university goals, governance, and responsible AI principles.
• Partners with leaders and subject matter experts across marketing, advising, academic affairs, teaching and learning, and student success to identify high-impact opportunities for analytics and automation.
• Translate complex business problems into data science solutions, including experimentation, feature engineering, model development, and performance monitoring.
• Collaborate with IT teams to productionize models, integrate solutions into workflows, and maintain scalable, reliable data products.
• Communicate insights, model results, and recommendations clearly to technical and non-technical audiences through presentations, dashboards, and written documentation.

Qualifications

• Master’s degree in data science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field.
• 2-3 years experience of data scientist or analyst.
• Demonstrated experience developing and implementing machine learning models in production environments.
• Strong proficiency in Python, SQL, and common machine learning frameworks and libraries.
• Hands-on experience with LLMs, natural language processing, prompt design, evaluation, and/or generative AI applications.
• Familiarity with cloud platforms and modern data science tooling for scalable model development and deployment.
• Strong analytical, problem-solving, and communication skills, with the ability to influence decisions through data-driven insights.
• Able to work cross-functionally and manage multiple priorities in a collaborative environment.

Pay

The hiring salary range for this position is $85,000 - $95,000. The hiring salary range above represents the University’s good faith estimate at the time of posting.