Technical requirements
· 6-8 years of relevant experience in analytics, machine learning
· Hands-on experience of R and/or Python programming
· Strong knowledge of business statistics, AI/ML algorithms, performance tuning of models
· Has delivered/solved business problems using supervised & unsupervised methods (end-to-end)
· Possesses awareness of industry used analytical frameworks, ML libraries, best practices of solution design and deployment
· Good data management and aggregation skills, working knowledge of sql/Hive/Spark (query & compute at scale)
· Excellent knowledge of data mining techniques, exploratory data analysis, feature engineering, visualization of data to show hidden trends, patterns, insights
· Basic knowledge of productionizing ML-driven solutions and measuring overall impact
Functional requirements
· Translate high-level business requirements to tangible problem statement(s) and possesses an acumen of connecting analytics to business drivers
· Presenting proposals, project updates and findings to relevant stakeholders in an effective and compelling manner
· Supervise delivery of ongoing projects, build and lead a team of analysts/data engineers/data scientists to continuously grow this function
· Good verbal and written business communications (since this role has high frequency client interactions)
· Entrepreneurial mindset of creating and delivering solutions from scratch (thinker as well as doer)
· Collaborative mindset to work closely with engineering teams and drive solution development
· You will have to wear multiple hats and exhibit strong ownership skills to meet business objectives within agreed timelines