Senior Data Scientist

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.

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.

• 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.

• 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, Num Py, ggplot, Shiny, Sci Py, Sci-Kit Learn, and Matplotlib.
• Proficiency in utilizing a range of Machine/Deep Learning algorithms and frameworks, including Tensor Flow, 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.

• Prior experience in Fintech
• Software engineering experience

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.

Lending Tree 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 Lending Tree 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.

We’re a publicly traded company (NASDAQ: TREE). We’ve welcomed several other companies into the Lending Tree family to expand our reach and capabilities. We’ve built the Lending Tree app and My Lending Tree 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.