Sr. Data Science Manager

Posted 10 Days Ago
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Charlotte, NC
Senior level
Fintech
The Role
The Sr. Data Science Manager will lead Generative AI projects, collaborating with cross-functional teams, and mentoring junior members while ensuring data quality and project success.
Summary Generated by Built In

*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 

We are seeking a highly skilled Sr. Data Science Manager to enable LendingTree capabilities in Generative AI. We seek to make our customer experience smarter, more efficient, and personalized through the application of the revolutionary technology of Generative AI.  

This is an individual contributor role that will be a part of a new cross-functional team whose sole task is to rapidly experiment and deploy GenAI solutions across the organization. You will be responsible for collaborating with stakeholders from Data Science, MLOps, Engineering and Product while providing vision on infrastructure and best practices. The ideal candidate should possess expertise in the fundamentals of Natural Language Processing and Data Science, as well as a strong applied background in machine learning tools.  

RESPONSIBILITIES 

  • Participate in strategic planning and help drive the execution of Gen AI/ML solutions. 
  • Provide thought leadership and subject matter expertise in Data Science. 
  • Oversee the end-to-end lifecycle of multiple Gen AI/ML projects, from data collection and preprocessing to model training, evaluation, and deployment. 
  • Leverage generative AI and large language models (LLMs) to create innovative applications and solutions. 
  • Design, develop and implement data science projects, including machine learning models, deep learning models, NLP solutions, statistical analysis, and data visualization. 
  • Function as an embedded leader within a cross-functional team to understand business needs and translate them into data science solutions. 
  • Ensure data quality, scalability, and reliability of AI systems. 
  • Present insights and recommendations to stakeholders. 
  • Communicate complex technical concepts and results to business stakeholders effectively. 
  • Mentorship and Knowledge Sharing: Mentor junior team members and provide guidance on technical and methodological aspects of GenAI and data science. Foster a culture of learning and knowledge sharing within the team. 
  • Code Review: Conduct thorough code reviews of ML and GenAI algorithms and related software components developed by the team. Ensure adherence to best practices, coding standards, and optimization techniques. Provide constructive feedback and mentorship to team members to enhance code quality and maintainability.  

REQUIRED SKILLS 

  • 7-10 years of experience in data science, ideally with Master's or PhD degree in a related field  
  • Strong experience of developing and deploying the AI/ML models in production 
  • Expertise in machine learning, deep learning, NLP, statistical analysis, and data visualization tools and technologies 
  • Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras and experience with cloud platforms (Snowflake, AWS) and their AI/ML services 
  • Taken a product or platform from 0 to 1, you know what it takes to launch something novel 
  • Preference for experience in implementing RAG , working with vector databases, and fine-tuning large language models 
  • Expertise in Python, data analysis and model development  

ABOUT THE 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! 

CCPA Disclosure 



Top Skills

AWS
Keras
Python
PyTorch
Snowflake
TensorFlow
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The Company
HQ: Charlotte, NC
1,300 Employees
On-site Workplace
Year Founded: 1996

What We Do

Today LendingTree is home to the nation’s largest network of lenders offering all kinds of financial products, including mortgages, auto loans, small business loans, personal loans, credit cards, and more. We also offer comparison shopping services for insurance, debt relief services and credit repair. Plus tons of helpful financial tips and articles written and fact-checked by experts in the field.

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