Data Scientist - Research Associate, Remote

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
• $80,000-150,000 base salary