Data Scientist + Instructor

Role Overview: Newton School of Technology (NST) is seeking a Data Scientist + Instructor AI/ML to join the Computer Science Department. As a Data Scientist + Instructor, you will be responsible for designing and delivering practical, project-based courses in Artificial Intelligence and Machine Learning. Your role will involve mentoring students, guiding them through hands-on projects, and ensuring curriculum relevance by integrating real-world problem-solving. The ideal candidate should have a strong industry background in AI/ML and a passion for shaping the next generation of tech talent. Key Responsibilities: - Teach Applied AI/ML: Design and deliver practical courses in AI/ML covering topics such as Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, and GenAI. - Develop Industry-Relevant Curriculum: Update the AI/ML curriculum to reflect current industry tools, techniques, and best practices, incorporating professional experience and case studies. - Mentor Student Projects: Guide students through hands-on AI/ML projects, providing technical direction, code reviews, and feedback based on industry standards. - Guide & Mentor Students: Advise students on developing practical skills, understanding career paths in AI/ML, and preparing for internships and job placements. - Stay Current: Bring the latest AI/ML research, tools, and industry trends into the classroom. - Collaborate: Work closely with other faculty and staff to create a unified learning experience. - Assess Practical Skills: Design and evaluate assignments, projects, and assessments focused on real-world applications. Qualifications and Requirements: - Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI/ML, or related field. - 6+ years of hands-on professional experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role. - Proven Industry Track Record: Experience in building, training, and deploying machine learning models for real-world problems. - Deep AI/ML Understanding: Strong grasp of core ML algorithms, model evaluation, statistics, and awareness of current research trends. - Passion for Teaching/Mentoring: Ability to explain complex concepts clearly and guide others. Required Skills: - Technical: Expert-level Python programming. - Proficiency with data science libraries (Pandas, NumPy, Scikit-learn). - Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch). - Strong SQL and data handling skills. - Understanding of ML Ops practices and tools (Git, Docker, AWS/GCP/Azure). - Knowledge of key AI areas (NLP, Computer Vision, Generative AI/LLMs). - Soft Skills: Strong communication, mentoring ability, collaboration, and passion for education. Good-to-Have: - Prior teaching experience at the undergraduate or graduate level. - Familiarity with modern teaching methodologies and academic standards. Role Overview: Newton School of Technology (NST) is seeking a Data Scientist + Instructor AI/ML to join the Computer Science Department. As a Data Scientist + Instructor, you will be responsible for designing and delivering practical, project-based courses in Artificial Intelligence and Machine Learning. Your role will involve mentoring students, guiding them through hands-on projects, and ensuring curriculum relevance by integrating real-world problem-solving. The ideal candidate should have a strong industry background in AI/ML and a passion for shaping the next generation of tech talent. Key Responsibilities: - Teach Applied AI/ML: Design and deliver practical courses in AI/ML covering topics such as Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, and GenAI. - Develop Industry-Relevant Curriculum: Update the AI/ML curriculum to reflect current industry tools, techniques, and best practices, incorporating professional experience and case studies. - Mentor Student Projects: Guide students through hands-on AI/ML projects, providing technical direction, code reviews, and feedback based on industry standards. - Guide & Mentor Students: Advise students on developing practical skills, understanding career paths in AI/ML, and preparing for internships and job placements. - Stay Current: Bring the latest AI/ML research, tools, and industry trends into the classroom. - Collaborate: Work closely with other faculty and staff to create a unified learning experience. - Assess Practical Skills: Design and evaluate assignments, projects, and assessments focused on real-world applications. Qualifications and Requirements: - Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI/ML, or related field. - 6+ years of hands-on professional experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role. - Proven Industry Track Record: Experience in building, training, and deploying machine learning models for real-world problems. - Deep AI/ML Understanding: Strong gras