обновлено 6 дней назад
Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI) (Machine Learning/NLP): Developing and deploying AI models and reusable data science tools across on-premises and AWS environments with an accent on machine learning, natural language processing, and generative AI. Focus on gathering requirements, sourcing data, testing models, demonstrating proofs of concept, supporting governance, and moving solutions into production.
Location: Columbus, OH, United States; office-based
Company
is a banking organization whose Enterprise Data and Analytics function develops AI solutions for strategic business initiatives across the enterprise.
What you will do
- Collaborate with Product Owners, Data Scientists, Data Engineers, and business stakeholders across the AI development lifecycle.
- Gather requirements, source data, develop and test models, and prepare proof-of-concept demonstrations.
- Support AI governance activities and production deployment across on-premises and AWS environments.
- Apply analytical and automation techniques to improve productivity, accuracy, workflows, and reusable tools.
- Evaluate emerging machine learning, cloud, and AI technologies and contribute ideas that improve business outcomes.
Requirements
- Master’s degree in computer science, statistics, economics, or a related field plus at least 1 year of relevant experience, or a bachelor’s degree in a related field plus 5 years of relevant experience.
- Programming experience in Python or R, with familiarity with SQL and modern data science tools.
- Foundational understanding of machine learning concepts and model development.
- Exposure to AWS services such as SageMaker, Lambda, S3, or Athena.
- Hands-on experience with machine learning, NLP, or generative AI through coursework, internships, research, or personal projects.
- Applicants must already be authorized to work full-time in the United States.
Nice to have
- Interest in agentic AI concepts, workflow automation, and AI-powered productivity solutions.
Culture & Benefits
- Workplace type is office-based, with specific arrangements determined by the hiring team.
- Work includes collaboration across the Enterprise Data and Analytics organization and business stakeholders.
- Immigration sponsorship is not available for this position.
- The position is exempt from overtime pay.
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