Data Scientist - Snowflake Cortex Specialist

Job Title: Contract - Mid-Senior Data Scientist - Snowflake Cortex Specialist (3 Months)

Location: Remote

Start Date: Immediate availability preferred

Job Overview:

We are seeking a highly skilled Mid-Senior Data Scientist with deep expertise in Snowflake's native data science functionalities for a 3-month remote contract. This role will be crucial in the initial phase of developing and implementing an enterprise-wide Large Language Model (LLM) powered chat interface, leveraging customers' structured data products within Snowflake. The ideal candidate will possess a strong hands-on background in data science, a comprehensive understanding of Snowflake's ecosystem, and a passion for leveraging cutting-edge AI technologies. This is a remote contract position.

Responsibilities:

• Lead the solution design of an enterprise-grade LLM-based chat interface leveraging Snowflake's native data science features to interact with customers' structured data products.
• Define, implement, and manage the Semantic Model Specs within Snowflake to ensure accurate and contextually rich responses from the LLM.
• Expertly configure and optimize Snowflake Cortex Analyst to extract relevant information and insights from customers' structured data products for the LLM.
• Design and implement the integration strategy for the LLM-powered chat interface, which will involve either developing a user interface directly within Snowflake using Streamlit to interact with the configured Snowflake Cortex solution or establishing a robust API integration between the Snowflake Cortex solution and an existing enterprise chat bot service.
• Collaborate with relevant teams to understand data structures and access requirements for customer data products within Snowflake.
• Evaluate and recommend appropriate LLM models and prompt engineering techniques within the Snowflake environment for interacting with structured data.
• Implement initial testing and validation procedures for the chat interface, considering integration with Streamlit or existing enterprise bot services via API.
• Document all aspects of the development process, including solution design, data flows, and configurations relevant to the contract deliverables.
• Provide knowledge transfer and documentation to the internal team for ongoing development and integration efforts.
• Must have a strong understanding of Snowflake Role-Based Access Control (RBAC) and best practices for governing access controls within Snowflake.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
• 5+ years of hands-on experience as a Data Scientist, with a significant focus on working within the Snowflake environment.
• Deep and demonstrable expertise in leveraging Snowflake's native data science features, including but not limited to:
• Snowpark (Python, Scala, Java) for data interaction and potential model deployment.
• Snowflake ML functions and libraries.
• Data governance and security features within Snowflake.
• Proven ability to configure and effectively utilize Snowflake Cortex Analyst for information retrieval and analysis from structured data.
• Strong understanding and practical experience in defining and managing Semantic Model Specs within Snowflake.
• Solid understanding of Large Language Models (LLMs), their capabilities, and limitations in the context of structured data.
• Experience with prompt engineering techniques for LLMs.
• Proficiency in SQL and data manipulation within Snowflake.
• Strong analytical and problem-solving skills with the ability to translate requirements into technical solutions for a chat interface.
• Excellent communication and collaboration skills in a remote working environment.
• Must have a strong understanding of Snowflake Role-Based Access Control (RBAC) and best practices for governing access controls within Snowflake.
• Ideal candidate will have a SnowPro Core Advanced Data Scientist certification.