Data Scientist - QA Test
IBM Computing, Austin, TX, United States
Your role and responsibilities
The Data Scientist role requires a highly analytical individual proficient in Python programming, database management, and data science methodologies. You’ll focus on extracting insights from data, developing and implementing machine learning models, managing big data infrastructure, and supporting AI‑driven product development.
Key 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 using advanced techniques to uncover insights and trends.
Statistical Analysis: Apply statistical and mathematical techniques to provide robust analytical foundations for predictive modeling.
Machine Learning and Deep Learning: Develop and implement machine learning and deep learning models to address business challenges.
ML‑Ops / AI‑Ops: Demonstrate expertise in ML‑Ops / AI‑Ops practices to ensure efficient model deployment and management.
Big Data Management: Manage big data infrastructure and execute data engineering tasks for efficient data processing.
Version Control and Collaboration: Utilize version control systems like Git for maintaining codebase integrity and fostering collaboration.
AI‑Driven Product Development: Design, create, and support AI‑driven products to deliver impactful solutions aligned with user needs and business objectives.
Required technical and professional expertise
Fundamental education in hardware or test
Strong communication skills
Passion to pursue career path in engineering
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
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.
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The Data Scientist role requires a highly analytical individual proficient in Python programming, database management, and data science methodologies. You’ll focus on extracting insights from data, developing and implementing machine learning models, managing big data infrastructure, and supporting AI‑driven product development.
Key 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 using advanced techniques to uncover insights and trends.
Statistical Analysis: Apply statistical and mathematical techniques to provide robust analytical foundations for predictive modeling.
Machine Learning and Deep Learning: Develop and implement machine learning and deep learning models to address business challenges.
ML‑Ops / AI‑Ops: Demonstrate expertise in ML‑Ops / AI‑Ops practices to ensure efficient model deployment and management.
Big Data Management: Manage big data infrastructure and execute data engineering tasks for efficient data processing.
Version Control and Collaboration: Utilize version control systems like Git for maintaining codebase integrity and fostering collaboration.
AI‑Driven Product Development: Design, create, and support AI‑driven products to deliver impactful solutions aligned with user needs and business objectives.
Required technical and professional expertise
Fundamental education in hardware or test
Strong communication skills
Passion to pursue career path in engineering
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
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.
#J-18808-Ljbffr