Data Scientist

Responsibilities

• Design, build, and deploy AI/ML models for diverse enterprise applications with a privacy-first approach
• Partner with data engineers and AI/ML engineers to develop robust data pipelines and ensure reliable model deployment
• Implement privacy-first analytics techniques supporting data sovereignty and regulatory compliance
• Scale analyses of large, complex datasets to extract actionable insights
• Collaborate with stakeholders to scope projects and communicate findings
• Monitor, evaluate, and improve model performance and explainability
• Develop and maintain clear documentation, experiment logs, and analytic artifacts

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
• Demonstrated experience with machine learning, statistical modeling, and analytics
• Proficiency in Python, SQL, and relevant ML/data science libraries
• Strong knowledge of privacy-preserving techniques such as federated learning and differential privacy
• Familiarity with data engineering and big data tools (e.g., Spark, Airflow, Kafka)
• Experience working on cloud, hybrid, and/or on-premise infrastructure
• Familiarity with GDPR, CCPA, and data sovereignty issues preferred
• Excellent communication, problem-solving skills, curiosity, and adaptability

About the Company

Interval helps enterprises turn messy, underused data into governed, high-confidence intelligence without handing control to a black box. The platform brings compute to your data with a private data lakehouse, verifiable audit trails, and U-AI, a contextual AI framework for secure AI workflows. Interval focuses on three outcomes: control over data ownership, verifiable audit trails, and monetization through private, permissioned data exchange.