Manager, Data Science

🏢 Lendingtree · 📍 Charlotte, NC, United States · 💼 onsite 💰 $170,000 - $170,000 / yr

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Position Summary & Responsibilities

*PLEASE NOTE: this position is located in Charlotte, NC and requires attendance at our Southend office three days a week.*

Candidates must be legally authorized to work in the United States. LendingTree and its affiliates (“LendingTree”) will not provide or assume sponsorship for employment visas for this position, now or in the future.

The Opportunity

Data Science and AI are reshaping how consumers find better financial outcomes, and LendingTree is building what’s next. We’re looking for a Manager, Data Science to lead the team behind our models and define where they go from here. This is a role for a leader who loves both the craft and the people: you’ll set the technical vision, grow a team of data scientists into tomorrow’s leaders, and make sure every model we ship drives measurable business results.

You’ll chart the team’s road map, from spotting where machine learning and AI can create the most value to taking solutions from prototype to production at scale. If you’re equally comfortable debating model architecture, weighing business tradeoffs, and developing great talent, this is your chance to shape the future of data science at LendingTree.

How You’ll Make an Impact

Lead, mentor, and develop a team of data scientists, fostering technical excellence, growth, and scientific rigor.
Partner with senior stakeholders to identify and prioritize the opportunities where machine learning and AI can deliver the most value.
Oversee the design, development, and deployment of scalable, reproducible models, and guide the team through data acquisition, feature engineering, and the full model lifecycle from prototype to production.
Promote best practices in experimentation, modeling, validation, and monitoring, and raise standards for documentation, testing, versioning, and code review.
Champion explainability, fairness, and reliability in every model-driven solution.
Translate complex analytical findings into clear, actionable insights for technical and business audiences, and drive alignment across business units so models meet real-world needs.

Who You’ll Work With

You’ll lead a team of data scientists and work hand in hand with engineering, MLOps, product, analytics, and platform leaders, as well as senior business stakeholders. This

🎯 Candidate Preparation Guide For Lendingtree Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Evaluating performance-driven digital marketing tech capabilities, high-volume transactional data handling, and ROI optimization mindset.

📋 Preparation Priorities (Key Areas to Clarify):

1. Focusing on tech stack vanity metrics rather than direct business revenue impact.
2. Slow delivery cadence or resistance to pivoting based on real-time market data.
3. Weak grasp of unit economics in customer acquisition loops.

✨ Recommended Role Alignment Hook:

I engineer high-conversion fintech funnels that optimize user acquisition economics at scale while maintaining rigorous data security.

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