Founder & CEO at Analytics Vidhya
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Analytics Vidhya - Director - Data Science & Analytics (4-8 yrs)
Our mission is to empower individuals to reach their full professional potential in the most engaging learning environment.
- We are partnering with universities and corporates to unite academia and industry and bring education in India to the next level.
- With a lack of more than one million skilled individuals in areas such as Big Data and Digital Business Management, we are creating post-graduate programs for working professionals in new-age, industry relevant areas. Merging the latest technology, pedagogy and services, we are creating an immersive student experience - anytime and anywhere.
As a Subject Matter Expert (SME) : Data Analytics, we would seek your leadership in the following areas to help deliver a rigorous, industry-relevant program:
Curriculum iteration (10% time) : Build a rigorous program by informing decisions on curriculum structure, describing various analytics concepts in innovative, simple ways, and time allocation across concepts
Industry-relevant cases and projects (40% time) : Identify industry-relevant projects / cases and develop them (e.g. data sets, code solutions, evaluation criteria) with industry partners to offer students compelling project experience from a recruiter standpoint
Academic quality assurance and guest faculty (40% time) : Help create learning material with an in-house team of data science associates and review its technical and pedagogical quality to ensure an engaging delivery on the program. Deliver 1-2 modules to supplement the existing faculty.
Thought-leadership (10% time) : Leverage our platform to publish original content (e.g. video as guest faculty, articles on our blog) to position yourself, and by association we as a thought leader in the analytics industry
Desired Profile :
- 3-5 years in Data Analytics education and experience
- Education / hands-on, analytics workplace experience in applying concepts in statistics, descriptive, inferential, predictive analytics and machine learning, using regular and Big Data sets
- Intermediate to advanced proficiency in R, SQL, and / or Python
- Experience in multiple verticals will be a plus
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