IBM
Overview
Data Scientist - QA Test at IBM. IBM Software envisions a team that transforms customer challenges into solutions, with a focus on AI-powered, cloud-native software solutions. This role involves applying data science methodologies to extract insights, develop machine learning models, manage data infrastructure, and support AI-driven product development. Responsibilities
Data Collection and Cleansing: Collect and cleanse data from diverse sources to ensure high-quality datasets for decision-making. Data Exploration and Visualization: Explore and visualize data to uncover insights and trends. Statistical Analysis: Apply statistical and mathematical techniques to support predictive modeling. Machine Learning and Deep Learning: Develop and implement ML/DL models to address business challenges. ML-Ops / AI-Ops: Demonstrate expertise in ML-Ops / AI-Ops practices for deployment and model management. Big Data Management: Manage big data infrastructure and perform data engineering tasks for efficient processing. Version Control and Collaboration: Use Git and other tools to maintain codebase integrity and collaborate effectively. AI-Driven Product Development: Design, create, and support AI-driven products aligned with user needs and business objectives. Qualifications
Required Technical And Professional Expertise
Fundamental education in hardware or test Strong communication skills Growth minded, trusted, team focused, courageous, resourceful, and outcome focused Preferred Technical And Professional Experience
Pursuing a Bachelor's or Master’s Degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, Materials Science, Chemical Engineering, Physics, Optics Engineering, Biomedical Engineering or related majors Education
Bachelor’s Degree Senioriry level
Internship Employment type
Full-time Job function
Engineering and Information Technology Industries
IT Services and IT Consulting Location
Austin, TX Sample Salary Range
Various postings show ranges like $90,000.00 – $287,800.00; actual compensation is determined by role, location, and experience.
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Data Scientist - QA Test at IBM. IBM Software envisions a team that transforms customer challenges into solutions, with a focus on AI-powered, cloud-native software solutions. This role involves applying data science methodologies to extract insights, develop machine learning models, manage data infrastructure, and support AI-driven product development. Responsibilities
Data Collection and Cleansing: Collect and cleanse data from diverse sources to ensure high-quality datasets for decision-making. Data Exploration and Visualization: Explore and visualize data to uncover insights and trends. Statistical Analysis: Apply statistical and mathematical techniques to support predictive modeling. Machine Learning and Deep Learning: Develop and implement ML/DL models to address business challenges. ML-Ops / AI-Ops: Demonstrate expertise in ML-Ops / AI-Ops practices for deployment and model management. Big Data Management: Manage big data infrastructure and perform data engineering tasks for efficient processing. Version Control and Collaboration: Use Git and other tools to maintain codebase integrity and collaborate effectively. AI-Driven Product Development: Design, create, and support AI-driven products aligned with user needs and business objectives. Qualifications
Required Technical And Professional Expertise
Fundamental education in hardware or test Strong communication skills Growth minded, trusted, team focused, courageous, resourceful, and outcome focused Preferred Technical And Professional Experience
Pursuing a Bachelor's or Master’s Degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, Materials Science, Chemical Engineering, Physics, Optics Engineering, Biomedical Engineering or related majors Education
Bachelor’s Degree Senioriry level
Internship Employment type
Full-time Job function
Engineering and Information Technology Industries
IT Services and IT Consulting Location
Austin, TX Sample Salary Range
Various postings show ranges like $90,000.00 – $287,800.00; actual compensation is determined by role, location, and experience.
#J-18808-Ljbffr