*Job requires in-person attendance at least 3 days a week (ideally Tuesday-Thursday)* 

*Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time*



We are looking for a Data Science leader to work on our Analytics who wants to grow and develop our expanding Data Science team. You will play a crucial role in delivering revenue growth, insights, and scalable data science operations. This position will focus on building data science solutions for various business problems like estimated value models or building personalized product experiences for our users. The ideal candidate will have experience of managing Data Science teams, project management, and hands-on experience building high impact models.


  • Help build and lead a phenomenal data science team to deliver outstanding products.
  • Partner with product, marketing, and sales teams using a wide array of sophisticated analytic methods including linear and non-linear programing and reinforcement learning to drive business insights and support data-driven decisions.
  • Work closely with product team to identify impactful problems and develop solutions to these problems via machine learning and data science.
  • Become experienced on key internal and external data sources. Find opportunities to use new data sources/features to improve existing or develop new machine learning solutions.
  • Provide technical guidance to the broader org on data science and analytics.
  • Work with the business teams to set a clear vision and direction for experiments and models.
  • Manage complex data science projects through their full life-cycle through building strong relationships with stakeholders.
  • Collaborate with software developers to plan and construct the architecture surrounding model deployment.


  • Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods.
  • 2+ years of experience in leading other team members in a formal or informal capacity.
  • 4+ years of experience doing quantitative analysis at a technology, consulting or product management company.
  • Knowledge of machine learning concepts: loss functions, regularization, feature selection, regression/classification, cross-validation, bagging, kernel methods, sampling, and probability distributions.
  • A Master’s degree or equivalent experience in Data Science, Computer Science, Electrical Engineering, Mathematics, Machine Learning/AI or related fields or equivalent work experience.
  • Strong desire to solve tough problems with scientific rigor.
  • Strong ability to communicate complex analytical results in forms that resonate with scientific and/or business collaborators, highlighting meaningful insights.
  • Familiarity with writing queries and working with databases, with strong skills in SQL.
  • Understand underlying scientific experimental setup, process, and analysis and to facilitate effective communication.
  • Have a solid understanding of Big Data platforms using the Snowflake and AWS ecosystems a plus.


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 CEO Doug Lebda founded the company in 1996 after a frustrating house-hunting experience. In those days, we mostly helped people find good mortgage deals. Now, we help consumers find their best in personal loans, auto loans, business loans, student loans, credit cards, savings accounts, home equity loans and more.

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.  


We’re a fast-paced company with an entrepreneurial bend. We work hard and test our products often. We’re collaborative, ambitious, candid and high-energy. Our teammates are some of the brightest, most talented people you’ll ever work with. We care more about your smarts than we do about the kinds of clothes you wear (but please, do wear clothes to work!), and we’re pretty good about rewarding innovation, creativity and the knack for just getting stuff done (we even have an award for employees called the GSD, “Get Stuff Done”). 

Come work with us!

Compensation: $200,000-215,000 DOE

Incentive Compensation: Eligible for annual performance bonus

Benefits: Medical, dental, vision insurance and 401(k) matching

LendingTree is the kind of company that not only promotes diversity and inclusion; we thrive because of these values. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation or military status

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LendingTree Voluntary Demographic Questionnaire

At LendingTree, we know our differences make us stronger. That’s why we’ve built a team bursting with unique perspectives, skills and experiences. We embrace our differences, and our goal is to develop a culture of understanding and respect for our coworkers, customers and communities. Through inclusive policies and equitable initiatives, we’re on our way.

With this in mind, we invite you to help us gather a better understanding of our applicant population. Below is a set of voluntary demographic questions that will help us evaluate and improve our recruitment, diversity and belonging efforts. If you choose to fill them out, the responses will be used in aggregate only to help us identify areas of improvement in our hiring process, and will be kept secure and confidential. Your responses will not be associated with your application, and will not in any way be used in the hiring decision.  Also, your decision not to answer the questions will not affect your application in any way.

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