EXL

Data Scientist, SnowFlake

EXL

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

CloudGoogle Cloud PlatformPythonScikit-LearnSQL

About the role

  • Design, build, and deploy LLM-based solutions on Snowflake, leveraging Cortex AI functions (e.g., Snowflake LLM inference, fine-tuning, embeddings).
  • Create custom LLM pipelines using Snowpark ML and external models integrated through Snowflake.
  • Build and operationalize machine learning models, including NLP, predictive modeling, generative AI, and recommendation systems.
  • Develop and apply prompt engineering, RAG pipelines, and semantic search patterns using Snowflake features and Vector Embeddings.
  • Conduct exploratory data analysis (EDA), feature engineering, and statistical modeling using Snowflake & Snowpark Python.
  • Deploy, monitor, and optimize model performance directly within the Snowflake environment.
  • Integrate Snowflake ML solutions with cloud platforms (GCP) and downstream applications.
  • Work with business stakeholders, product teams, and analytics leaders to identify opportunities for AI-driven transformation.
  • Deliver high-quality, interpretable insights and communicate complex technical results to non-technical audiences.
  • Partner with data engineers, architects, and analysts to build end-to-end Snowflake-native AI solutions.

Requirements

  • 3-6 years of experience in Data Science, Machine Learning, or Applied AI roles.
  • Hands-on expertise with Snowflake, including Snowpark Python, UDFs, Warehouses, Tasks, Streams, and performance optimization.
  • Strong experience with LLMs, including fine-tuning, embeddings, prompt engineering, evaluation, and inference.
  • Proven experience using Snowflake Cortex AI or similar cloud LLM platforms.
  • Proficiency in Python, SQL, and ML frameworks (scikit-learn, transformers, LangChain, etc.).
  • Familiarity with cloud platforms like GCP and integrating it with SnowFlake.
  • Experience with NLP techniques, vector databases, and semantic search.
  • Familiarity with MLOps workflows: model deployment, monitoring, CI/CD pipelines.
  • Strong understanding of data governance, security, and ML best practices.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
LLM-based solutionsSnowflakeCortex AISnowpark MLNLPpredictive modelinggenerative AIrecommendation systemsprompt engineeringstatistical modeling
Soft Skills
communicationcollaborationproblem-solvinganalytical thinkingstakeholder engagementinsight deliverytechnical communication