01Responsibilities
Collect and analyze large sets of structured and unstructured data Develop predictive models and algorithms to support business decisions - Selecting/engineering features,building and optimizing Statistical / ML models Support moving models to production, by creating quality code modules that can be seamlesslyintegrated into existing systems Support the development and maintenance of data pipelines and infrastructure Communicate insights and findings to stakeholders, both technical and non-technical Collaborate with cross-functional teams to integrate data into business processes Stay up-to-date with industry trends and advancements in Data Science and Analytics Skills Required: Strong mathematical and coding aptitude. Hands on exposure to common data science toolkits including comfort in Python or R Good understanding of data querying / SQL Exposure to data visualization tools and techniques. Good applied statistical skills and fundamental understanding of classification / regression models Ability to communicate advanced analytic outputs clearly, adapting according to the audience Education
