*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 POSITION

This position is an important role working on data analysis and model development under the supervision of senior team members. With a deep understanding of data science and machine learning workflows, you'll build and lead by example, fostering a culture of excellence. This highly cross-functional role requires strong partnerships with engineering, product, business, finance, and analytics teams, as well as accountability, and the ability to navigate fast-paced environments with agility and poise. 

 

RESPONSIBILITIES

  • Collaborate with multiple teams to pinpoint opportunities for data analysis that support business goals.
  • Handle data collection, cleaning, and preprocessing to ready datasets for comprehensive analysis.
  • Ensure the validity, reliability, and robustness of models by implementing best practices in model validation, testing, and calibration.
  • Conduct thorough exploratory data analysis (EDA) to uncover insights and inform model development.
  • Expertly utilize SQL for data extraction and Python for analysis and modeling tasks.
  • Aid in maintaining/retraining existing models.
  • Develop predictive models with Python using libraries such as Scikit-learn or PyTorch, focusing on generating insights that directly influence business decisions.
  • Engage in projects that may require understanding or executing basic model deployment processes, ensuring insights are accessible to all stakeholders.
  • 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. 

 

REQUIRED SKILLS

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or related fields or equivalent hands-on experience. MA in the above fields preferred.  
  • 1-2 years of experience in a data science role, showcasing solid abilities in SQL and Python.
  • 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.
  • Experience of one or more AI/ML platforms in cloud such as Sagemaker, Dataiku, DataRobot, H2O.ai, Snowpark, ModelOp Center, and Domino Data Lab.
  • Experience in or understanding of model development, with a willingness to explore model deployment strategies.
  • 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.
  • 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. 

 

EVEN BETTER

  • Experience in Fintech
  • Some software engineering experience 

 

ABOUT THE TEAM

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.  We are a small but rapidly growing team of data scientists who are defining what data science and GenAI are at LendingTree. We’re enthusiastic, proactive, and seeking people who can take our work to the next level.  

ABOUT THE COMPANY

LendingTree is the nation’s largest online lending marketplace. That means we connect customers with multiple lenders, so they find the best deals on loans, credit cards, savings accounts and insurance. Our goal is to help people save money, and we believe the best way to do that is by giving them a way to shop for loans and compare lenders, so they make their best financial choices.

Our CEO Doug Lebda founded the company in 1996 after a frustrating house-hunting experience. In those days, we mostly helped people find good mortgage deals. Now, we help consumers find their best in personal loans, auto loans, business loans, student loans, credit cards, savings accounts, home equity loans and more.

What else you should know: 

  • We’re a publicly-traded company (TREE).
  • We’ve welcomed several other companies into the LendingTree family to augment our efforts at helping borrowers make their most sensible financial choices.
  • We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.  

 

CULTURE

We’re a fast-paced company with an entrepreneurial bend. We work hard and test our products often. We’re collaborative, ambitious, candid and high-energy. Our teammates are some of the brightest, most talented people you’ll ever work with. We care more about your smarts than we do about the kinds of clothes you wear (but please, do wear clothes to work!), and we’re pretty good about rewarding innovation, creativity and the knack for just getting stuff done (we even have an award for employees called the GSD, “Get Stuff Done”). 

Come work with us!

Compensation: $100,000-140,000

Incentive Compensation: Eligible for annual performance bonus

Benefits: Medical, dental, vision insurance and 401(k) matching

LendingTree is the kind of company that not only promotes diversity and inclusion, we thrive because of these values. 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

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At LendingTree, we know our differences make us stronger. That’s why we’ve built a team bursting with unique perspectives, skills and experiences. We embrace our differences, and our goal is to develop a culture of understanding and respect for our coworkers, customers and communities. Through inclusive policies and equitable initiatives, we’re on our way.

With this in mind, we invite you to help us gather a better understanding of our applicant population. Below is a set of voluntary demographic questions that will help us evaluate and improve our recruitment, diversity and belonging efforts. If you choose to fill them out, the responses will be used in aggregate only to help us identify areas of improvement in our hiring process, and will be kept secure and confidential. Your responses will not be associated with your application, and will not in any way be used in the hiring decision.  Also, your decision not to answer the questions will not affect your application in any way.

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