Manager, Data Science

Who you are

You have a strong background in data science and machine learning, with experience leading teams to deliver impactful solutions. You are comfortable discussing model architectures and business tradeoffs, and you have a passion for mentoring talent and fostering growth within your team. You understand the importance of collaboration with engineering, product, and analytics teams to ensure the successful delivery of data science initiatives. You are committed to promoting best practices in experimentation, modeling, validation, and monitoring to ensure robust, production-grade solutions. You thrive in a role that combines technical leadership with strategic oversight, ensuring scientific rigor and operational excellence.

What you'll do

As the Manager of Data Science at LendingTree, you will lead a team of data scientists in designing, developing, and deploying models that drive measurable business outcomes. You will oversee the entire model lifecycle, from data acquisition and feature engineering to deployment and monitoring. Your role will involve collaborating with senior stakeholders to identify and prioritize opportunities where machine learning and AI can deliver value. You will promote best practices in experimentation and modeling, ensuring that your team delivers scalable and high-quality solutions. You will also mentor your team members, helping them grow their skills and advance their careers. Your leadership will be crucial in shaping the direction of the team and ensuring that the data science initiatives align with the company's strategic goals.

What we offer

LendingTree offers a collaborative and inclusive work environment where you can make a significant impact. You will have the opportunity to work with a talented team of professionals who are dedicated to delivering high-quality data science solutions. We value diversity and are committed to creating an environment where all employees feel valued and included. You will also have access to professional development opportunities to help you grow in your career. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of every individual.