Job Description
Overview:
Job Purpose
We are seeking a highly skilled and experienced Data Scientist to join our Data Warehouse & Analytics team. The ideal candidate will have a strong background in Snowflake, Python, machine learning, GenAI and Agentic frameworks to enable data-driven decision-making and predictive analytics. This role provides a unique opportunity to work with large-scale data on peta-bytes and make impactful contributions to ICE.
Responsibilities
- Develop and implement advanced analytics models using machine learning and AI techniques.
- Design and implement intelligent agents using Snowflake Cortex to orchestrate multi-tool workflows—leveraging Cortex Analyst, Cortex Search, and custom tools to automate complex data tasks and deliver actionable insights across structured and unstructured data.
- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
- Design and maintain scalable and robust data pipelines in Snowflake.
- Analyzing data and sharing meaningful insights
- Write clean, efficient, and well-documented Python code to perform data analysis and modeling.
- Stay up to date with the latest technologies and trends in data science and machine learning.
Knowledge and Experience
- Bachelor’s or Master's in Computer Science, Analytics, Statistics, Mathematics, or a related field.
- 3+ years of experience in a data science role, with a focus on Snowflake, Python, SQL, Machine Learning, and GenAI.
- 3+ years of experience in Tableau or any other data visualization tool
- Proven track record of developing and deploying machine learning models in a production environment.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
Preferred
- Experience with cloud platforms and services.
- Knowledge of additional programming languages and frameworks is a plus.
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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.
Job Tags
Full time,