Senior Data Scientist

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. Lending Tree and its affiliates (“Lending Tree”) will not provide or assume sponsorship for employment visas for this position, now or in the future.

Turn complex data into solutions that make a difference  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.

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.

You’ll be part of Lending Tree’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.

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, Num Py, ggplot, Shiny, Sci Py, scikit-learn, and Matplotlib.

Proficiency applying machine learning and deep learning algorithms, with experience using frameworks such as Tensor Flow, 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.

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.

Develop and implement reliable models that address clearly defined…