Head of Data Science

This Product Data Science Manager role leads a team of data scientists focused on product analytics and experimentation. The manager will drive the data science roadmap, mentor team members, and partner with product leadership to define metrics and optimize user experience. Key responsibilities include overseeing A/B testing frameworks, developing predictive models, and translating complex data into actionable product insights.

Lead data science initiatives at LoopMe, driving innovation in AI and machine learning for advertising optimization. Oversee data science team and strategy.

This role applies data science and analytics to enhance pricing optimization and ML/AI models for retail pricing. The analyst will use R, Python, and SQL to analyze data and build predictive models.

Provide advanced technical support to Quicklizard customers, troubleshooting issues and ensuring smooth operation of the pricing platform. Escalate complex issues as needed, requiring deep product knowledge and problem-solving skills.

Design and maintain data pipelines and infrastructure for Quicklizard's AI-driven pricing platform, ensuring data quality and availability for analytics and machine learning models. Requires expertise in data engineering technologies and a focus on supporting real-time pricing decisions.

Generate and qualify leads for Quicklizard's dynamic pricing solutions in the US market, supporting the sales team with outbound prospecting and initial outreach. Focus on building a pipeline of potential customers through proactive communication.