Manager, Data Science

KEY RESPONSIBILITIES

Leadership & Strategy:

• Lead, mentor, and develop a team of data scientists, fostering technical excellence and growth.
   

• Collaborate with senior stakeholders to 
  identify
   and prioritize opportunities where machine learning and 
  AI
   can deliver value.
   

• Promote best practices in experimentation, modeling, validation, and 
  monitoring
   to ensure robust, production-grade solutions.
   

Model Development & Delivery:

• Oversee the design, development, and deployment of 
  data science
   models, ensuring scalability, reproducibility, and operational performance.
   

• Guide the team through data acquisition, feature engineering, and model lifecycle management from prototype to production.
   

• Partner with 
  MLOps
   and engineering to streamline workflows and 
  monitor
   models in production environments.
   

• Review and enhance model documentation, testing, and versioning standards.
   

Technical Expertise:

• Apply 
  expertise
   in Python, SQL, and ML frameworks (Scikit-learn, 
  PyTorch
  , TensorFlow, etc.) to 
  provide
   hands-on guidance where needed.
   

• Lead code reviews and 
  establish
   quality control standards for data science deliverables.
   

• Champion explainability, fairness, and reliability in all model-driven solutions.
   

Stakeholder Engagement & Communication:

• Translate complex analytical findings into actionable business insights for diverse audiences.
   

• Collaborate closely with Analytics, Product, and Platform leaders to integrate data-driven decision-making into products and operations.
   

• Drive alignment across business units to ensure models address real-world needs and deliver measurable impact.
   

QUALIFICATIONS

• Bachelor’s or 
  Master’s degree in Computer Science
  , Data Science, Engineering, Statistics, or 
  a related
   field (PhD a plus).
   

• 7
  + years
   of experience in applied data science, with 
  experience
   in a leadership or people management role.
   

• Proven ability to lead teams through 
  full
   ML lifecycle — data preparation, modeling, validation, deployment, and monitoring.
   

• Advanced 
  proficiency
   in 
  Python, SQL, and data science libraries
   (NumPy, Pandas, Scikit-learn, 
  PyTorch
  , TensorFlow).
   

• 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 with 
  a track record
   of business impact.
   

• Excellent written and verbal communication 
  skills;
   capable of influencing technical and executive audiences.
   

NICE TO HAVE

• Experience in 
  fin-tech
   or other data-rich, high-scale consumer businesses.
   

• Background in 
  software engineering, model deployment, or data platform integration.
   

• Experience managing hybrid teams (on-site and remote).
   

• In depth knowledge and experience in leveraging GenAI & LLM capabilities
  , 
  building Retrieval Augmented Generation/agentic workflows preferred
   

COMPANY

LendingTree is the nation’s largest online lending marketplace. That means we connect customers with multiple lenders so they find the best deals on loans, credit cards, savings accounts and insurance. Our goal is to help people save money, and we believe the best way to do that is by giving them a way to shop for loans and compare lenders so they make their best financial choices.

Our story began in 1996, when our founder, Doug Lebda, set out to make the home-buying process easier after his own frustrating house-hunting experience. What started as a simple idea to help people find better mortgage options has grown into a platform that empowers millions of consumers to compare and choose the financial products that fit their lives best — including loans, credit, savings, and insurance products.

What else you should know:

• We’re a publicly-traded company (TREE).
• We’ve welcomed several other companies into the LendingTree family to augment our efforts at helping borrowers make their most sensible financial choices.
• We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.

Incentive Compensation: Annual bonus opportunity

Benefits: Medical, dental, vision insurance, 401(k) matching, life insurance, pet insurance, and a competitive PTO (paid time off) policy

The base pay range for this position in Seattle/New York/Colorado/California is $180,000-$210,000 however, base pay offered may vary depending on internal factors, job-related knowledge, and experience.

CULTURE

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