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LendingTree

data opportunity

Senior Data Scientist

The Senior Data Scientist will lead complex data analysis and model development projects while guiding junior team members. Responsibilities include executing data science strategies, developing predictive models, and communicating insights to stakeholders.

Charlotte, North Carolina, United StateshybridFULL_TIME

Posted

About the role

What will you do at LendingTree?

*Candidates must be located in Charlotte, NC or willing to relocate. The

position requires in-person attendance at least 3 days a week (ideally

Tuesday-Thursday) in our Charlotte, NC office. Applicants also 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.

THE POSITION:

The Senior Data Scientist is a key role within the Data Science team that

involves leading complex data analysis and model development projects,

leveraging a deep understanding of data science and machine learning workflows.

This role requires the ability to navigate fast-paced environments with agility

and poise, as well as build strong partnerships with engineering, product,

business, finance, and analytics teams. As a Senior Data Scientist, you will

take on a leadership position, guiding junior team members and ensuring the

successful implementation of advanced analytics solutions.

KEY RESPONSIBILITIES:

* Help execute data science strategies and roadmaps to address business

challenges and opportunities through analytics and AI/ML models.

* Hands on design, development, and deployment of predictive models, machine

learning algorithms, and AI solutions.

* Collaborate with team members and business stakeholders to understand

objectives and requirements and develop analytic models that provide

actionable insights.

* Ensure the validity, reliability, and robustness of models by implementing

best practices in model validation, testing, and calibration.

* Monitor performance and outcomes of models and refine them for optimized

performance.

* Communicate complex analytic solutions and insights in a clear and structured

manner to business stakeholders.

* Foster a culture of continuous improvement within our data science practices,

staying abreast of industry trends and advancements.

* Demonstrate an eagerness to learn, including aspects related to bringing data

science models into operational use.

QUALIFICATIONS:

* Bachelor's or Master’s degree in Computer Science, Data Science, Statistics,

or related field. PhD in the above fields preferred.

* Minimum of 5 years of experience in a data science role, showcasing solid

abilities in SQL and Python.

* Excellent data analysis, profiling and statistics skills coupled with

proficiency in SQL tools and technologies such as Oracle, SQL Server, MySQL,

Pandas, NumPy, ggplot, Shiny, SciPy, Sci-Kit Learn, and Matplotlib.

* Proficiency in utilizing a range of Machine/Deep Learning algorithms and

frameworks, including TensorFlow, PyTorch, scikit-learn, Spark ML, Torch,

Huggingface, Keras, Caffe, and CNTK.

* Solid understanding of cloud computing environments and experience with

deploying models in cloud environments such as AWS, Azure, or GCP.

* Experience in or understanding of model development, with a willingness to

explore model deployment strategies.

* High analytical aptitude for navigating complex datasets to extract

actionable insights.

* Excellent problem-solving skills and a detail-oriented mindset.

* Strong communication abilities, capable of conveying technical concepts to

diverse audiences.

* Proactive in learning and adapting to new methodologies and challenges.

* Ability to work effectively in a team and manage simultaneous projects in a

dynamic environment.

NICE TO HAVE:

* Prior experience in Fintech

* Software engineering experience

TEAM CULTURE:

We are seeking enthusiastic candidates who have an unwavering commitment to

remain at the forefront of data technology and science. Our ideal candidates are

those who aim to foster a team spirit and collaboration and want to learn and

grow with our team.

ABOUT LENDINGTREE

LendingTree is the nation’s leading online lending marketplace. We connect

consumers with multiple lenders so they can easily compare options and find the

right fit — from mortgages and personal loans to credit, savings, and insurance

products.

Our founder, Doug Lebda, started LendingTree in 1996 after his own frustrating

house-hunting experience. What began as a simple idea to make loan shopping

easier has grown into a platform that empowers millions of people to make

smarter financial decisions every day.

What else you should know:

* We’re a publicly traded company (NASDAQ: TREE).

* We’ve welcomed several other companies into the LendingTree family to expand

our reach and capabilities.

* We’ve built the LendingTree app and My LendingTree dashboard to give

consumers tools to manage and monitor their financial health.

* We’re also committed to giving back — through philanthropic programs,

volunteer opportunities, and partnerships that strengthen the communities

where we live and work.

OUR CULTURE

We’re a collaborative, entrepreneurial team that values curiosity, creativity,

and getting things done together. Our teammates are some of the brightest, most

driven people you’ll meet — and we celebrate innovation, inclusion, and

ownership. At LendingTree, you’ll find an inclusive culture where diverse

perspectives make us stronger. We believe in working hard and supporting one

another — with the flexibility and trust that help you thrive both personally

and professionally.

We’re proud to offer generous benefits, wellness programs, and time-off policies

designed to help you recharge, stay healthy, and bring your best self to work

every day. And yes — we still have fun doing it (our “GSD – Get Stuff Done”

award is a fan favorite!)

Come grow with us, make an impact, and be part of a company that truly cares

about its people and its community.

The base pay range for this position in Seattle/New York/Colorado/California is

$130,000 to $170,000; however, base pay offered may vary depending on internal

factors, job-related knowledge, and experience.

Incentive

Compensation

Eligible for annual performance bonus

Which skills does this role require?

Machine LearningPredictive ModelingStatistical AnalysisProblem SolvingTeam CollaborationAgilityContinuous ImprovementAI SolutionsAIPredictive ModelsModel ValidationAnalyticsBusiness IntelligenceProduct Strategy

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

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