What are the responsibilities and job description for the Data Scientist position at Intercontinental Exchange Holdings, Inc.?
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, and AI to drive data-driven decision-making and predictive analytics. This role provides a unique opportunity to work with large-scale data on peta-bytes and make significant contributions to ICE.
Responsibilities
- Develop and implement advanced analytics models using machine learning and AI techniques.
- 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.
- Minimum of 3 years of experience in a data science role, with a focus on Snowflake, Python, SQL, Machine Learning, and AI.
- Minimum of 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.
Schedule
This role offers work from home flexibility of one day per week.
Intercontinental Exchange, Inc. is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin or ancestry, age, disability or veteran status, or other protected status.
