Anonymous · 9 hours ago
Senior Data Engineer
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Responsibilities
Design and refine curriculum tracks covering foundational to advanced AI & Data Science topics.
Collaborate with faculty and industry experts to keep course material up to date with emerging trends and best practices.
Oversee the scheduling and execution of workshops, webinars, and cohort-based sessions.
Facilitate the onboarding process, including coordinating surveys and initial consultations to tailor learning experiences.
Act as the primary point of contact for learners, providing guidance on program selection, scheduling, and project assignments.
Gather feedback to continuously improve curriculum quality and overall learner satisfaction.
Work closely with expert instructors and mentors to deliver engaging, hands-on learning experiences.
Coordinate live projects, case studies, and real-world data analysis opportunities for students and client teams.
Support mentorship programs, ensuring learners receive individualized feedback and career coaching.
Develop partnerships with businesses seeking tailored AI solutions and workforce upskilling.
Represent GIDS at conferences, networking events, and industry gatherings to promote thought leadership and foster collaboration.
Collaborate with corporate clients on designing AI roadmaps and consulting engagements that align with strategic goals.
Measure the impact of GIDS’s training programs on learners’ career growth and organizational objectives.
Utilize metrics and feedback to refine curricula, teaching methodologies, and support services.
Ensure compliance with educational standards and maintain high-quality training deliverables.
Qualification
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Required
Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
5+ years in a data science, AI, or analytical role.
Demonstrated expertise in AI techniques (e.g., deep learning, NLP, predictive analytics, reinforcement learning).
Strong project management and organizational skills.
Excellent communication and leadership abilities.
Proven track record of forging partnerships and building collaborative relationships.
Passion for teaching, mentoring, and guiding professionals toward career advancement.
Preferred
Master’s degree in Data Science, Computer Science, Statistics, or a related field.
Background in educational program management.