IBM
Introduction
Your role and responsibilities
Senior Data Scientist, IBM Corporation, Research Triangle Park, NC (Up to 40% telecommuting permitted):
Implement artificial intelligence and machine learning strategies to maximize business value and advance enterprise objectives.
Design, build, and maintain models that drive decision-making while ensuring seamless integration and scalability through robust model pipelines.
Source and clean data to ensure quality and consistency.
Drive rigorous release management processes to maintain operational efficiency.
Uphold Data Science standards across the organization to promote excellence.
Demonstrate expertise in data processing, machine learning algorithms, statistical models, and visualization techniques using Python and relevant packages.
Make informed suggestions about trade-offs between business needs and expected time to value, especially for incremental model changes.
Leverage expertise in company's products and environments, including the Watsonx suite, to effectively manage and analyze large, complex datasets.
Manage stakeholder relationships, including sourcing of business requirements, their translation into data science tasks, as well as to report solution design and performance.
Contribute to company's key initiatives on assigned projects and apply artificial intelligence and machine learning to drive innovation and growth.
Manage multiple concurrent efforts to deliver impactful results that align with organizational goals.
Utilize: Python, Watsonx.ai, Watsonx.data, Cloud Pak for Data, DB2, COS (Cloud Object Storage), DataStage.
Required: Master's degree or equivalent in Data Science, Engineering, Computer Science or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Data Scientist or related. One (1) year of experience must include Python, Watsonx.ai, Watsonx.data, Cloud Pak for Data, DB2, COS (Cloud Object Storage), DataStage. $153733 to $187600 per year. Full time. H244.
Required technical and professional expertise
Master's degree or equivalent in Data Science, Engineering, Computer Science or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Data Scientist or related. One (1) year of experience must include Python, Watsonx.ai, Watsonx.data, Cloud Pak for Data, DB2, COS (Cloud Object Storage), DataStage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Your role and responsibilities
Senior Data Scientist, IBM Corporation, Research Triangle Park, NC (Up to 40% telecommuting permitted):
Implement artificial intelligence and machine learning strategies to maximize business value and advance enterprise objectives.
Design, build, and maintain models that drive decision-making while ensuring seamless integration and scalability through robust model pipelines.
Source and clean data to ensure quality and consistency.
Drive rigorous release management processes to maintain operational efficiency.
Uphold Data Science standards across the organization to promote excellence.
Demonstrate expertise in data processing, machine learning algorithms, statistical models, and visualization techniques using Python and relevant packages.
Make informed suggestions about trade-offs between business needs and expected time to value, especially for incremental model changes.
Leverage expertise in company's products and environments, including the Watsonx suite, to effectively manage and analyze large, complex datasets.
Manage stakeholder relationships, including sourcing of business requirements, their translation into data science tasks, as well as to report solution design and performance.
Contribute to company's key initiatives on assigned projects and apply artificial intelligence and machine learning to drive innovation and growth.
Manage multiple concurrent efforts to deliver impactful results that align with organizational goals.
Utilize: Python, Watsonx.ai, Watsonx.data, Cloud Pak for Data, DB2, COS (Cloud Object Storage), DataStage.
Required: Master's degree or equivalent in Data Science, Engineering, Computer Science or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Data Scientist or related. One (1) year of experience must include Python, Watsonx.ai, Watsonx.data, Cloud Pak for Data, DB2, COS (Cloud Object Storage), DataStage. $153733 to $187600 per year. Full time. H244.
Required technical and professional expertise
Master's degree or equivalent in Data Science, Engineering, Computer Science or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Data Scientist or related. One (1) year of experience must include Python, Watsonx.ai, Watsonx.data, Cloud Pak for Data, DB2, COS (Cloud Object Storage), DataStage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.