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greenhouse

Senior Data Scientist

LendingTree
Charlotte, USA
Senior · 5+ years experience
Onsite
Discovered 5 days ago
SQLPythonOracleTensorFlowPyTorchAWS

Full Job Posting

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 [email protected].
  • 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

Qualifications

  • 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.

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