Data Scientist - Research Associate

Cherre is the real estate industry's leading data management platform, powering more than $3 trillion AUM globally. Our end-to-end platform helps clients connect, transform, analyze, and act on trusted data to increase efficiencies, reduce risks, gain visibility into market trends, and make strategic moves in response to changing market conditions.

Cherre is seeking a dynamic and driven Data Scientist / Research Associate to join our innovative AI team. This role is perfect for a passionate individual eager to apply their technical skills in large language models (LLMs) and natural language processing (NLP) to revolutionize how we process and transform information. You will work closely with our AI leadership, engineering, data science, and product teams to develop and implement cutting-edge solutions using LangChain, Retrieval-Augmented Generation (RAG), and Graph RAG.

Core Responsibilities

• Collaborate with engineering, data science, and product teams to design, develop, and deploy data science projects focused on LLM and NLP applications.
• Conduct research and experiments with LLMs to enhance our data processing and analytical capabilities.
• Assist in the development and deployment of machine learning models, leveraging both supervised and unsupervised learning techniques.
• Perform advanced statistical analyses to derive insights and build predictive models that support business objectives.
• Continuously explore new techniques and tools in the LLM and NLP space to keep Cherre at the forefront of AI innovation.
• Work with cross-functional teams to integrate LLM solutions into our existing platforms and services.
• Utilize your strong foundation in statistics and machine learning to ensure robust and reliable model development.

Professional Expectations

• Eager to learn and adapt in a fast-paced environment, demonstrating flexibility and a proactive approach to problem-solving.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.
• Ability to work independently and as part of a team, managing multiple projects and deadlines effectively.
• Demonstrated passion for AI and data science, with a keen interest in the latest developments in LLMs and NLP.

Must Have

• A Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, or a related field.
• 1-3 years of experience in data science, with a focus on machine learning, NLP, or related areas.
• Proficiency in Python and experience with libraries and frameworks relevant to NLP and LLMs.
• Strong SQL skills and experience with Google Cloud Platform (GCP), and DBT.
• Experience with building RAG, Graph RAG, Fine Tuning and deploying solutions using LangChain, LlamaIndex or similar technologies.
• Solid foundation in statistical methods, including hypothesis testing, regression analysis, and time series analysis.
• Experience in applying machine learning algorithms such as decision trees, clustering, neural networks, and natural language processing techniques.

Preferred Qualifications

• Previous experience in developing and deploying LLM-based solutions.
• Exposure to real estate data or a related field.
• Strong analytical and problem-solving skills, with a creative approach to leveraging AI for business solutions.

Benefits

• Equity
• Range of Healthcare Plans
• Paid Parental Leave
• Unlimited Vacation
• Flexible Work Schedule
• $130,000 - $150,000 base salary

$130,000 - $150,000 a year

If this opportunity sounds interesting, apply or reach out to our internal talent team. We are happy to tell you more about Cherre: the technology we work with, the problems we solve, the team we are assembling, and the culture we all contribute to. We are excited you are considering working with us and look forward to hearing from you!

“At the top of the mountain we are all snow leopards.” - Hunter S. Thompson

Cherre is an equal opportunity employer. We pride ourselves on hiring the best people for the job no matter their race, sex, orientation, nationality, religion, disability, or age.