Staff Data Scientist

About SimplSimpl is India's leading checkout network meant to make payments invisible and money intelligent. It is committed to the simplification and democratization of digital transformation in the payments space.As India's foremost consumer experience platform, Simpl is on a mission to empower merchants to build trusted relationships with customers, one transaction at a time. With more than 20,000+ available merchants and millions of trusted users pan-India, Simpl envisions creating an inclusive digital payment experience for India that empowers and fosters trust between merchants and their customers.Simpl proves a full-stack solution for e-commerce conversion. It enables merchants to give customers 1-click checkout, buyer protection, and a pay-later facility to allow them to feel safe and trusted when shopping online. Through Simpl, merchants can provide consumers with an easy, secure, and intuitive user experience.Everyone at Simpl is an internal entrepreneur who is given a lot of bandwidth and resources to create the next breakthrough towards the long term vision of "making money Simpl". Our first product is a payment platform that lets people buy instantly, anywhere online, and pay later. In the background, Simpl uses big data for credit underwriting, risk and fraud modeling, all without any paperwork, and enables Banks and Non-Bank Financial Companies to access a whole new consumer market .In place of traditional forms of identification and authentication, Simpl integrates deeply into merchant apps via SDKs and APIs. This allows for more sophisticated forms of authentication that take full advantage of smartphone data and processing power.About the role: At Simpl, data stands as the most precious asset. Within Simpl, the Data Science Team plays a vital role in the development and maintenance of machine learning models that leverage alternative data for different stages of the credit lifecycle. These stages include approval, user behavior monitoring, and collections.As a Staff Data Scientist with a strong background in NLP, Machine Learning, and Deep Learning, you will play a critical role in shaping our data-driven solutions. You will be responsible for designing and implementing advanced algorithms and models, utilizing NLP techniques, ML methodologies, and DL frameworks to extract valuable insights from vast and complex datasets. Your expertise will contribute to enhancing our products, optimizing processes, and providing data-driven recommendations that drive business success.Responsibilities: