Manager, Data Science

*PLEASE NOTE: This role requires the candidate to be in or near Charlotte -office presence is required three days a week. Additionally this position does not offer visa sponsorship.*

The POSITION

TheManager DataSciencewill leada 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.

You will play a key role inhelpingshapetheteamdirection mentoring talent and collaborating with engineering product analytics and business stakeholders to deliver scalable high-quality data science/AIsolutions. The ideal candidate is equally comfortable discussing model architectures business tradeoffs and team development strategies.

KEY RESPONSIBILITIES

Leadership & Strategy:

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

• Collaborate with senior stakeholders toidentifyand prioritize opportunities where machine learning andAIcan deliver value.

• Promote best practices in experimentation modeling validation andmonitoringto ensure robust production-grade solutions.

Model Development & Delivery:

• Oversee the design development and deployment ofdata sciencemodels ensuring scalability reproducibility and operational performance.

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

• Partner withMLOpsand engineering to streamline workflows andmonitormodels in production environments.

• Review and enhance model documentation testing and versioning standards.

Technical Expertise:

• Applyexpertisein Python SQL and ML frameworks (Scikit-learnPyTorch TensorFlow etc.) toprovidehands-on guidance where needed.

• Lead code reviews andestablishquality 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

• Bachelors orMasters degree in Computer Science Data Science Engineering Statistics ora relatedfield (PhD a plus).

• 7 yearsof experience in applied data science withexperiencein a leadership or people management role.

• Proven ability to lead teams throughfullML lifecycle data preparation modeling validation deployment and monitoring.

• AdvancedproficiencyinPython SQL and data science libraries(NumPy Pandas Scikit-learnPyTorch TensorFlow).

• Experience withcloud-based ML platforms(AWS SageMakerorSnowparkpreferred).

• Solid understanding ofML Ops reproducibility and governancepractices.

• Strong analytical organizational and problem-solving skills witha track recordof business impact.

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

NICE TO HAVE

• Experience infin-techor other data-rich high-scale consumer businesses.

• Background insoftware engineering model deployment or data platform integration.

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

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

COMPANY

LendingTree is the nations 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:

• Were a publicly-traded company (TREE).
• Weve welcomed several other companies into the LendingTree family to augment our efforts at helping borrowers make their most sensible financial choices.
• Weve 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 $180000-$210000 however base pay offered may vary depending on internal factors job-related knowledge and experience.

CULTURE

Werelooking for leaders who foster curiosity collaboration and continuous learning. The ideal candidate thrives in fast-pacedhighly ambiguouscross-functional environments and is passionate about building scalable responsible and impactful data science/AIsolutions that move the business forward.

Were a fast-paced company with an entrepreneurial bend. We work hard and test our products often. Were collaborative ambitious candid and high-energy. Our teammates are some of the brightest most talented people youll ever work with. We care more about your smarts than we do about the kinds of clothes you wear (but pleasedowear clothes to work!) and were pretty good about rewarding innovation creativity and the knack for just getting stuff done(weeven have an award for employees called the GSDGetStuff Done).

Come work with us!

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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