Data Scientist

*PLEASE NOTE: This role requires the candidate to be in or near Charlotte, NC. In-office presence is required three days a week. Additionally, this position does not offer visa sponsorship.*

The Position: 

The Data Scientist 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.

Key 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.

Qualifications:

• 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.

Nice to have:

• Experience in Fintech
• Software engineering experience

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.

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 a LendingTree app and 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!

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.

CCPA Disclosure