Job Location: Gurgaon/Gurugram
Roles and Responsibilities
- Owning new initiatives for learning content and experience for our flagship program DSBA (Data Science & Business Analytics)
- Ensuring ongoing review of the learning content and identifying opportunities to improve quality in terms of appropriateness, accuracy, richness.
- Ensuring the efforts towards updating the content as well as creating additional content – videos, reading material, exercises and assignments.
- Drive cross-pollination of ideas and knowledge with in-house data science and academic operations team to deliver in-house solutions and translate them into learning material & case studies for learners
- Leading initiatives as an in-house data science expert to deliver solutions to key business problems across operations and customer experience.
- Improve and evolve business intelligence layer for operation functions to enable automated delivery of insights to aid decision making on a regular basis (daily, weekly, monthly)
- Develop advanced analytics systems using driver and/or predictive models to identify factors that influence business outcomes like learners success, and help design and automate interventions to accelerate growth
- Use insights derived from ad-hoc data analysis to answer ad-hoc questions as well as drive processes improvements so that Great Learnings business requirements are met
- Refine existing solutions & products as well as handcraft new features in the Learning Management System for superior end user experience
- Create unique learning experiences that enable Great Learning customers to have a delightful learning experience and meaningful outcomes.
- Conceptualize, plan and execute hackathons & ad-hoc competitions.
- Fostering and leveraging relationships with industry leaders in Analytics to organize conferences, panel discussions, Analytics industry sessions
- Lead a team of enthusiastic data scientists and coach them on various aspects as and when needed.
Desired Candidate Profile
- Solid understanding and working knowledge of advanced techniques like supervised & unsupervised learning, including but not limited to, hypothesis testing, regression, clustering, decision trees, prediction techniques, model tuning and model performance measures etc.
- Experience of managing a dynamic team.
- Good aptitude, ability to think logically and problem-solve
- Ability to work under pressure and tight deadlines
- Ability to learn quickly- ability to learn business, processes, techniques and technologies on the go
- Potential ability to lead teams
- Good understanding of what analytics is – from data to decisions
- Good ability to work with complex, unstructured data from multiple sources – consolidate, analyze, interpret, clean and transform to get it ready for analysis
- Ability to design approaches to solve a problem using data analysis techniques
- Ability to interpret data, present/visualize metrics and extract meaningful insights to answer business problems
- Strong working knowledge of R/Python, Excel
- Excellent oral and written communication skills
- Ability to work independently without much supervision.
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