Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Snowflake is seeking a Data Scientist to join our expanding Enterprise AI & ML team. This role involves working on diverse AI/ML and data science initiatives, utilizing Snowflake's Data Cloud and Cortex AI. The successful candidate will design and develop scalable data science and machine learning solutions, build interactive AI applications, and collaborate on operationalizing intelligent systems to enhance data-driven decision-making throughout the company. This position focuses on applying data science, AI & ML skill sets to various domain specific business data problems across Snowflake.
ON THE ENTERPRISE AI & ML TEAM AT SNOWFLAKE, YOU WILL:
- Design, prototype, and deploy data science and AI solutions.
- Conduct end to end experimentation, including data exploration, feature engineering, model development, and validation.
- Build and maintain Streamlit applications to visualize models, showcase insights, and enable business stakeholders to interact with AI driven solutions.
- Develop and optimize LLM based applications, workflows, and operations; with a focus on retrieval, generation, semantic understanding and fine-tuning.
- Partner cross functionally with data engineers, analysts, and product teams to translate ambiguous business problems into measurable outcomes.
- 2 to 4 years of experience applying data science, machine learning, or AI techniques in real world business settings.
- Strong programming skills in Python, proficiency in SQL for large scale data manipulation.
- Familiarity with frameworks such as scikit-learn, XGBoost etc.
- Understanding of LLM architectures, embeddings, vector search, and RAG pipelines.
- Experience working on cloud platforms.
- Strong analytical, storytelling, and communication skills to translate technical insights into actionable recommendations.
- A mindset of curiosity, ownership, and collaboration, with an eagerness to work on open-ended problems.
- Experience operationalizing AI & ML models in a production setting.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
Key Skills
Ranked by relevanceReady to apply?
Join Snowflake and take your career to the next level!
Application takes less than 5 minutes

