Job Description

The Manager, Data Science will lead a team of data scientists to design, develop, and deploy models that drive measurable business outcomes across LendingTree. This role combines technical leadership with strategic oversight, ensuring scientific rigor, operational excellence, and cross-functional impact. The ideal candidate will shape team direction, mentor talent, and collaborate with stakeholders to deliver scalable data science solutions.

Responsibilities

• Lead, mentor, and develop a team of data scientists
• Collaborate with stakeholders to identify and prioritize opportunities
• Promote best practices in experimentation, modeling, and monitoring
• Oversee the design, development, and deployment of data science models
• Guide data acquisition, feature engineering, and model lifecycle management
• Partner with MLOps and engineering to streamline workflows
• Apply expertise in Python, SQL, and ML frameworks
• Lead code reviews and establish quality control standards
• Translate analytical findings into actionable business insights
• Integrate data-driven decision-making into products and operations

Requirements

• Bachelor’s or Master’s degree in a related field (PhD a plus)
• 7+ years of experience in applied data science with leadership experience
• Proven ability to lead teams through the full ML lifecycle
• Advanced proficiency in Python, SQL, and data science libraries
• Experience with cloud-based ML platforms (AWS SageMaker or Snowpark preferred)
• Solid understanding of ML Ops, reproducibility, and governance practices
• Strong analytical, organizational, and problem-solving skills
• Excellent written and verbal communication skills

Benefits

• No benefits