As a Content Strategist, you will play a pivotal role in shaping and delivering high-quality educational content in Artificial Intelligence (AI), Data Science (DS), Data Analytics (DA), and Machine Learning (ML). This role requires a strong understanding of DS/DA/ML concepts, with a preference for AI/GenAI knowledge candidates. Youll collaborate with SMEs, video production teams, and instructional designers to develop cutting-edge learning content while staying at the forefront of emerging technologies.
This is an exciting opportunity for professionals with a Data Science, Analytics, or ML background who aspire to work on the latest advancements in AI or GenAI and contribute to high-impact educational content.
Roles and Responsibilities:
- Work with SMEs, instructional designers, and video production teams to create and deliver high-quality, structured learning content aligned with industry trends.
- Curate, review, and refine content to ensure accuracy, relevance, and clarity, avoiding outdated or copyrighted material.
- Present complex technical concepts in an engaging and learner-friendly manner.
- Ensure strong conceptual clarity in Data Science, Analytics, and Machine Learning concepts.
- While AI/GenAI expertise is preferred, it is not mandatory; however, an eagerness to learn and explore these areas is highly valued.
- Stay updated with industry advancements and new tools in AI/GenAI and apply insights to content creation.
- Work closely with editors, SMEs, and other teams to streamline the video content workflow.
- Proactively identify and resolve issues that arise during content development.
- Ensure on-time delivery of high-quality content while balancing multiple priorities.
- Track and analyze content performance metrics to evaluate effectiveness.
- Iterate and enhance content strategies based on feedback and learner engagement insights.
Skill set Required:
- Minimum 4 years of experience in Data Science, Data Analytics, Machine Learning, or a related field, preferably in the EdTech sector or University
- Bachelor's or Masters degree in Engineering (B.E./B.Tech), Computer Science, Data Science, Statistics, or a related field.
- Strong understanding of Data Science, Analytics, or Machine Learning (mandatory).
- AI/GenAI knowledge is a plus, but a willingness to learn and work with AI content is key.
- Consistent academic record with a minimum of 65% and above grade
- Proficiency in Python, R, or other relevant programming languages is desirable
- Excellent verbal and written communication skills ability to simplify technical concepts for diverse learners.
- Ability to manage multiple projects, collaborate with cross-functional teams, and meet deadlines.
- Self-driven, adaptable, and eager to explore cutting-edge technologies.
- Strong problem-solving skills and the ability to work under tight deadlines.
- Strong interpersonal skills to coordinate with SMEs, faculty, and external stakeholders.