Senior Data Scientist

Location: Charlotte, NC, United States

Department: Business Analytics / Operations

*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