Manager, Data Science
Key Skills for This Role
Full Job Posting
What We Offer
- We want you to feel supported at work and beyond. Our benefits and programs are designed to help you stay healthy, recharge, plan for the future, and bring your best to whatever matters most to you.
- Medical, dental, and vision insurance
- 401(k) matching
- Generous time off
- Wellness programs and resources
- Annual performance bonus eligibility
- The Details
- Base Pay:
- The base pay for this position is $170,000-215,000; compensation offered varies based on location, internal factors, job-related knowledge, skills, and experience.
- Incentive Compensation: This position is eligible for an annual performance bonus.
- Work Authorization: This role is not eligible for immigration sponsorship. Please do not apply for this role if you will need employer sponsorship now or in the future to begin or continue employment.
- Everyone Belongs Here
- LendingTree is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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.
- If you believe you need a reasonable accommodation in order to search for a job opening or to submit an application, please email us at [email protected].
- CCPA Disclosure
Qualifications
- 7+ years of experience in applied data science, including experience in a leadership or people management role.
- A track record of leading teams through the 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).
- A solid understanding of MLOps, reproducibility, and governance practices.
- Strong analytical, organizational, and problem-solving skills, with a history of business impact.
- Excellent written and verbal communication skills, with the ability to influence technical and executive audiences.
- What Will Help You Thrive
- Experience in fintech or other data-rich, high-scale consumer businesses.
- A background in software engineering, model deployment, or data platform integration.
- Experience managing hybrid teams (on-site and remote).
- In-depth knowledge of GenAI and LLM capabilities, ideally including building Retrieval Augmented Generation (RAG) and agentic workflows.
- Curiosity, a collaborative spirit, and a passion for continuous learning.
- Comfort in fast-paced, highly ambiguous, cross-functional environments, and a drive to build scalable, responsible, and impactful data science and AI solutions that move the business forward.
- What Success Looks Like
- Models move from prototype to production reliably, with consistent standards for testing, documentation, versioning, and monitoring.
- Data science and AI work is prioritized with business partners and tied to measurable outcomes.
- Stakeholders across Analytics, Product, and Platform see the team as a trusted partner and use its insights to make decisions.
- Your team is growing technically and professionally, with clear development paths and strong engagement.
- Life at LendingTree
- We’re a collaborative, entrepreneurial team that’s curious, creative, and always ready to roll up our sleeves and get things done. You’ll work alongside smart, driven people who care about doing great work — and about helping each other succeed.
- We believe the best ideas come from different perspectives, and we’re committed to creating a workplace where people feel welcomed, valued, and empowered to make an impact. You’ll have the trust and flexibility to do your best work, the opportunity to take ownership and try new things, and teammates who genuinely enjoy working together.
- And while we work hard, we don’t take ourselves too seriously. We celebrate wins, recognize great work (our GSD — Get Stuff Done — Award is a fan favorite), and make time to have some fun along the way.
- Come grow with us, make an impact, and help us build what’s next.
Preferred Qualifications
- A Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field (PhD a plus).
- Experience with cloud-based ML platforms (AWS SageMaker or Snowpark preferred).
About LendingTree
Public U.S. fintech company connecting consumers with competing offers for loans, insurance, and other financial products.
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