Experience : 10 + Years
Education : Bachelor’s/Master’s degree
Work Location : USA (Remote/Hybrid)

We’re seeking an experienced Lead Data Scientist to drive machine learning development for InsightStream AI, our groundbreaking student success platform. You’ll lead the development of predictive models that identify at-risk students and power intelligent intervention recommendations, working exclusively within the Snowflake environment to serve smaller private institutions and community colleges. This is a foundational role in a fast-growing team with a critical 3-4 Month timeline to complete our case management prototype for market launch.

• Snowflake/Snowpark expertise – Snowpark ML model development and deployment preferred.
• Classification Modeling – Student risk prediction, enrolment probability, attrition forecasting.
• Python/SQL proficiency – Building scalable ML pipelines within Snowflake constraints.
• Model explainability – Transparent ML recommendations that advisors can understand and trust.
• Semantic Data Modeling – Natural language query capabilities over educational datasets.
• Anomaly detection – Identifying unusual student behaviour patterns.

REQUIRED SKILLS (MUST HAVE) :

• 3+ years higher education data experience – Student information systems, retention analytics, student success metrics.
• Strong Snowflake experience – Data warehousing, Snowpark preferred.
• Classification model expertise – Risk prediction, probability scoring, student outcome modeling.
• Higher ed domain knowledge – Understanding of student lifecycle, intervention strategies, institutional challenges.
• Team leadership experience – Mentoring, project oversight, cross-functional collaboration.
• FERPA/data security awareness – Educational data privacy and compliance requirements.

PROFESSIONAL SKILLS: :

• Ability to translate complex ML concepts for non-technical stakeholders.
• Strong project management in fast-paced startup environment.
• Experience working with smaller institutions’ resource constraints.
• Excellent communication with institutional partners and internal team.

ROLES AND RESPONSIBILITIES :

• Lead ML model development for student risk prediction and intervention recommendation systems.
• Build classification models to identify at-risk students and predict enrollment outcomes using Snowpark ML.
• Develop transparent, explainable algorithms that translate into actionable advisor recommendations.
• Create semantic models enabling natural language queries over student success data.
• Mentor data science team and establish ML best practices for the growing team.
• Collaborate closely with development team on case management system integration.
• Work with institutional partner data to refine models for diverse student populations.
• Rapidly prototype and iterate to meet aggressive product development timeline.

We’re seeking an experienced Lead Data Scientist to drive machine learning development for InsightStream AI, our groundbreaking student success platform. You’ll lead the development of predictive models that identify at-risk students and power intelligent intervention recommendations, working exclusively within the Snowflake environment to serve smaller private institutions and community colleges. This is a foundational role in a fast-growing team with a critical 3-4 Month timeline to complete our case management prototype for market launch.

• Snowflake/Snowpark expertise – Snowpark ML model development and deployment preferred.
• Classification Modeling – Student risk prediction, enrolment probability, attrition forecasting.
• Python/SQL proficiency – Building scalable ML pipelines within Snowflake constraints.
• Model explainability – Transparent ML recommendations that advisors can understand and trust.
• Semantic Data Modeling – Natural language query capabilities over educational datasets.
• Anomaly detection – Identifying unusual student behaviour patterns