Roles and Responsibilities

• Owning new initiatives for learning content and experience for our programs
• 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.
• Deliver a great learner support experience by ensuring timely response and feedback on all academic queries from learners
• Drive cross-pollination of ideas and knowledge with in-house data science team to deliver in-house solutions and translate them into learning material & case studies for learners
• Supporting initiatives as part of the in-house data science team to deliver solutions to key business problems across marketing, sales, operations and customer experience.
• Improve and evolve business intelligence layer a reporting suite for marketing, sales and 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 marketing conversions, learners’ success, workforce productivity etc. 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 Learning’s business requirements are met
• Collaborate across stakeholders to consistently align data interpretation with evolving business processes and accordingly refine existing solutions – automated reports & models
• Create unique learning experiences that enable Great Learning customers to have a delightful learning experience and meaningful outcomes; these could be hackathons, conferences, panel discussions, industry sessions, ad-hoc competitions etc.

Desired Candidate Profile

• Candidate should have completed their graduation  and available immediately
• Knowledge of ML and DL algorithms
• Good Knowledge of Python, SQL
• Additional skills ( good to have ) :  HTML, CSS, Javascript  ( preferable with basic framework knowledge such as Angular JS / ReactJS ) , Node JS.