What are the responsibilities and job description for the Data Scientist - Artificial Intelligence position at IBM?
Introduction
We are seeking a highly skilled Data Scientist to join our team in the AI industry. This role involves leveraging advanced analytics, machine learning, and statistical modeling to extract insights from large datasets and develop innovative AI-driven solutions. The ideal candidate will combine strong technical expertise with a passion for solving complex problems and driving data-informed decision-making.
Your Role And Responsibilities
Bachelor's Degree
Required Technical And Professional Expertise
We are seeking a highly skilled Data Scientist to join our team in the AI industry. This role involves leveraging advanced analytics, machine learning, and statistical modeling to extract insights from large datasets and develop innovative AI-driven solutions. The ideal candidate will combine strong technical expertise with a passion for solving complex problems and driving data-informed decision-making.
Your Role And Responsibilities
- Design, develop, and implement machine learning models and AI algorithms to solve business challenges.
- Analyze large, complex datasets to identify patterns, trends, and actionable insights.
- Collaborate with cross-functional teams (engineering, product, and business) to integrate AI solutions into production systems.
- Perform data preprocessing, feature engineering, and model optimization for high performance and scalability.
- Conduct experiments and validate models using appropriate statistical techniques.
- Communicate findings and recommendations through clear visualizations and reports.
- Stay updated on emerging AI technologies, frameworks, and best practices.
Bachelor's Degree
Required Technical And Professional Expertise
- 3 years of experience.
- Proven experience in machine learning, deep learning, and statistical modeling.
- Proficiency in programming languages such as Python or R.
- Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Experience working with large datasets and distributed computing frameworks (e.g., Spark, Hadoop).
- Excellent problem-solving skills and ability to work in a collaborative environment.
- Experience in Natural Language Processing (NLP), Computer Vision, or Generative AI.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong understanding of data architecture and data engineering principles.
- Prior experience in the AI industry or related research projects.
- Experience with API development and integration for AI models.
- Understanding of ethical AI principles and data privacy regulations.