Actify Data Labs is an Augmented Intelligence company that delivers rapid business impact using data science and data engineering capabilities. Our flagship platform ADAPTify accelerates the complete data-to-decisions life cycle and democratizes AI by empowering data scientists. ADAPTify addresses all four stages of the data life cycle – data consolidation, visualization, machine learning model development, and model implementation. Our machine learning team leverages data from our platform or directly from client’s systems to develop and implement cutting edge machine learning models in areas like computer vision, NLP, credit risk, fraud risk and customer experience management.
We are looking for a data scientist to bolster the strength and intellectual prowess of the team. As a data scientist you are expected to contribute across the entire cycle of model development and implementation including problem understanding, solution conceptualization, data source identification, data exploration, data quality analysis, model development and model implementation. You are expected to use your engineering and data science skills to solve problems in areas of credit risk, fraud risk and customer experience management (churn, cross-sell, offer optimization, campaign optimization, customer lifetime value etc.). Many of the above problems also involve leveraging unstructured data like text, image, and video. You are expected to leverage NLP, image analytics and video analytics techniques to address such problems.
We are also firm believers in adopting a full-stack (or near full-stack) approach, which will enable you to develop expertise in areas like model deployment, creating scalable data pipelines and understanding technology architecture.
We believe that every technologist is the “CEO of his/her projects” – keeping in view this philosophy, we provide an empowering environment where employees have the freedom to experiment and excel. And once an individual demonstrates a strong sense of ownership, Actify empowers the individual to take up bigger and bigger responsibilities.
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