Job description

PLEASE NOTE: this position is located in Charlotte, NC and requires attendance at our Southend office three days a week. Candidates must be legally authorized to work in the United States. LendingTree and its affiliates (“LendingTree”) will not provide or assume sponsorship for employment visas for this position, now or in the future. The Opportunity Turn complex data into solutions that make a difference at LendingTree. As a Senior Data Scientist, you’ll lead complex analysis and model development projects, taking a hands-on approach to building predictive models, machine learning algorithms, and AI solutions that address business challenges and opportunities. You’ll help shape and execute our data science roadmap, partner across teams to bring advanced analytics into use, and guide junior teammates as they grow their skills. How You’ll Make an Impact Help execute data science strategies and roadmaps, translating business objectives into analytical solutions and AI/ML models. Design, develop, and deploy predictive models, machine learning algorithms, and AI solutions. Collaborate with teammates and business stakeholders to understand requirements, explore data, and develop models that deliver actionable insights. Ensure model validity, reliability, and robustness through validation, testing, and calibration, then monitor outcomes and refine performance. Communicate complex analytical solutions and insights clearly, connecting technical findings to business needs. Guide junior team members and strengthen data science practices through continuous improvement, knowledge sharing, and exploration of new methods. Who You’ll Work With You’ll be part of LendingTree’s Data Science team, working closely with engineering, product, business, finance, and analytics partners. Collaboration is central to the role—from defining the business problem to implementing a solution and communicating its results. You’ll also provide technical guidance to junior team members and support the successful delivery of advanced analytics projects. What You’ll Bring A bachelor’s or master’s degree in Computer Science, Data Science, Statistics, or a related field. At least five years of experience in a data science role, with strong SQL and Python skills. Strong data analysis, profiling, and statistics skills, with experience using SQL databases and analytical tools such as Oracle, SQL Server, MySQL, Pandas, NumPy, ggplot, Shiny, SciPy, scikit-learn, and Matplotlib. Proficiency applying machine learning and deep learning algorithms, with experience using frameworks such as TensorFlow, PyTorch, scikit-learn, Spark ML, Torch, Hugging Face, Keras, Caffe, and CNTK. A solid understanding of cloud computing and experience deploying models in environments such as AWS, Azure, or GCP. An understanding of model development and a willingness to explore deployment strategies and deepen your experience bringing models into operational use. Strong analytical and problem-solving skills, attention to detail, and the ability to extract actionable insights from complex datasets. Clear communication skills, including the ability to explain technical concepts to diverse audiences. What Will Help You Thrive A collaborative approach and the ability to build strong relationships across technical and business teams. Agility and composure when managing multiple projects in a fast-paced environment. Curiosity about emerging data science methods and a proactive approach to learning and adapting. An interest in mentoring junior teammates and improving how the team works. Prior fintech or software engineering experience. A PhD in Computer Science, Data Science, Statistics, or a related field. What Success Looks Like Develop and implement reliable models that address clearly defined business needs and provide actionable insights. Establish effective validation and monitoring practices, using model outcomes to guide ongoing improvements. Build productive partnerships across teams and communicate analytical findings in ways that support business decisions. Help junior teammates grow while contributing to stronger, more consistent data science practices. 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. 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: 130,000-170,000 annual The base pay offered may vary based on 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 humanresources@lendingtree.com . Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. This job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, LendingTree reserves the right to modify or change the essential functions of the job based on business necessity. CCPA Disclosure

Requirements

Must-haves

PLEASE NOTE: this position is located in Charlotte, NC and requires attendance at our Southend office three days a week.
Candidates must be legally authorized to work in the United States. LendingTree and its affiliates (“LendingTree”) will not provide or assume sponsorship for employment visas for this position, now or in the future.
You’ll help shape and execute our data science roadmap, partner across teams to bring advanced analytics into use, and guide junior teammates as they grow their skills.
How You’ll Make an Impact
Help execute data science strategies and roadmaps, translating business objectives into analytical solutions and AI/ML models.
Design, develop, and deploy predictive models, machine learning algorithms, and AI solutions.
Collaborate with teammates and business stakeholders to understand requirements, explore data, and develop models that deliver actionable insights.
Ensure model validity, reliability, and robustness through validation, testing, and calibration, then monitor outcomes and refine performance.
Communicate complex analytical solutions and insights clearly, connecting technical findings to business needs.
Guide junior team members and strengthen data science practices through continuous improvement, knowledge sharing, and exploration of new methods.
Who You’ll Work With
What You’ll Bring
A bachelor’s or master’s degree in Computer Science, Data Science, Statistics, or a related field.
At least five years of experience in a data science role, with strong SQL and Python skills.
Strong data analysis, profiling, and statistics skills, with experience using SQL databases and analytical tools such as Oracle, SQL Server, MySQL, Pandas, NumPy, ggplot, Shiny, SciPy, scikit-learn, and Matplotlib.
Proficiency applying machine learning and deep learning algorithms, with experience using frameworks such as TensorFlow, PyTorch, scikit-learn, Spark ML, Torch, Hugging Face, Keras, Caffe, and CNTK.
A solid understanding of cloud computing and experience deploying models in environments such as AWS, Azure, or GCP.
An understanding of model development and a willingness to explore deployment strategies and deepen your experience bringing models into operational use.
Strong analytical and problem-solving skills, attention to detail, and the ability to extract actionable insights from complex datasets.
Clear communication skills, including the ability to explain technical concepts to diverse audiences.
What Will Help You Thrive
A collaborative approach and the ability to build strong relationships across technical and business teams.
Agility and composure when managing multiple projects in a fast-paced environment.
Curiosity about emerging data science methods and a proactive approach to learning and adapting.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlsqlpythonawsazuregcp

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Wellness