Company:
Intercontinental Exchange Holdings, Inc.
Location: Atlanta
Closing Date: 20/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Overview:
Job Purpose
We are seeking a highly skilled and experienced Senior 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.
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.
Mentor junior data scientists and analysts, providing guidance and support in their projects.
Knowledge and Experience
Master's or Ph.D. in Computer Science, Analytics, Statistics, Mathematics, or a related field.
Minimum of 5 years of experience in a data science role, with a focus on Snowflake, Python, SQL, Machine Learning, and AI.
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.
Familiarity with BI tools and data visualization techniques.
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.
Job Purpose
We are seeking a highly skilled and experienced Senior 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.
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.
Mentor junior data scientists and analysts, providing guidance and support in their projects.
Knowledge and Experience
Master's or Ph.D. in Computer Science, Analytics, Statistics, Mathematics, or a related field.
Minimum of 5 years of experience in a data science role, with a focus on Snowflake, Python, SQL, Machine Learning, and AI.
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.
Familiarity with BI tools and data visualization techniques.
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.
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