\nAbout Us: \n\n\nPaytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners.\n\n\nAbout the role:\n\n\nWe are seeking a highly skilled and experienced Data Scientist who will build and own foundation models with the end goal of mitigating risk across merchant and user journey while enhancing growth across different segments of our business. You will work on developing deep learning (DL) models for Fraud & Risk use cases as well as building in-house foundation models for learning representation of entities like customers, merchants, devices etc. in our ecosystem. In this role you will work with a talented engineering and data science team to build and deploy models at scale. You will have the opportunity to apply and improvise over the latest breakthroughs in AI research from industry and academia and bring them into life with our data product offerings.\n\n\nWhat does this include?\nBuild Sequence and graph representation learning on what our entities (user/merchants/FSE etc) do and how they interact over time in the ever evolving Paytm ecosystem. \nFine tune the learnt models for downstream applications related to better understanding of entities, prevent fraud, target marketing etc.\nDesign, build, evaluate and maintain ML/DL models to detect various types of fraud while improving end user experience\nCollaborate with product and analytics partners for business to ML problem formulation and align on key deliverables\nEnd-to-end management of the entire lifecycle of the machine learning or deep learning project, from identifying objectives and preparing data to testing and validating models, calibrating them, monitoring and feedback loop.\nUnsupervised learning methods to augment existing supervised models, or detect portfolio anomalies\n\n\nRequirements:\n4+ years of work experience as a Data Scientist.\nHave developed and deployed deep neural network models at scale\nKnowledge of sequence representation learning with recursive (RNN, LSTM, ELMO ..) and/or attention (Transformer variations like BERT, GPT, ..)  based neural networks. \nShould have developed and deployed one such model from scratch. \nKnow the trade off between choosing the techniques\nWorking knowledge on Knowledge Graph representation learning using Graph Neural Network (GraphSage/GAT/Graph Transformer ..) is a plus\nExcellent understanding of ML/DL frameworks (Keras/Tensorflow/PyTorch etc.) and libraries (scikit-learn, etc.)\nExcellent understanding of computer science fundamentals, data structures, and algorithms.\nShould have familiarity with object-oriented design methodology and application development in Python.\nFamiliar with Big Data related technologies to manage large volumes of complex data (SQL, pyspark). \nKnowledge of Scala is a plus\nPassion to learn and build quick POC’s with state-of-the-art ML/DL algorithms.\nChallenging the norm, creative thinking, collaboration\nWorking experience of fraud risk is plus\nBS in Computer Science or MS in Data Science discipline (or equivalent).\n\n\nWhy join us:\nBecause you get an opportunity to make a difference, and have a great time doing that\nYou are challenged and encouraged here to do stuff that is meaningful for you and for those we serve\nYou should work with us if you think seriously about what technology can do for people\nWe are successful, and our successes are rooted in our people's collective energy and unwavering focus on the customer, and that's how it will always be.\nLearn more about the exciting work we do in Tech by reading our Engineering blogs\n\n\nCompensation:\nIf you are the right fit, we believe in creating wealth for you. \nWith enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. \nIndia’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!\n\n\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Testing, Scala, Senior and Marketing jobs that are similar:\n\n $50,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBengaluru, Karnataka