LendingTree is an online lending exchange that connects consumers with multiple lenders who compete for their business. The Data Scientist role involves data analysis and model development, collaborating with various teams to support business goals and foster a culture of excellence in data science practices.
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.
Qualification
Required
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.
Preferred
Experience in Fintech
Software engineering experience
Benefit
LendingTree is an online lending exchange that connects consumers with multiple lenders who compete for their business.
