Senior Data Scientist at Paytm

Short Description:

We are looking for a Senior Data Scientist to join Paytm, India's leading digital payments and financial services company. In this role, you will develop and deploy machine learning models to mitigate risk across the merchant and user journey, contributing to the growth of various business segments. Your responsibilities include building deep learning models for Fraud & Risk scenarios, fine-tuning models for better entity understanding and fraud prevention, and collaborating with product and analytics teams. You will manage the end-to-end lifecycle of machine learning projects, apply the latest AI research breakthroughs, and bring them to life in our data product offerings. With a focus on creativity and collaboration, we offer a unique opportunity to make a meaningful impact in the exciting field of digital finance and technology.

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Title: Senior Data Scientist - Data Science

Location: Bengaluru, Karnataka

Department: Technology – Risk – Tech /On-Roll/ Remote

About Our Company:

Paytm stands as India's leading digital payments and financial services provider, dedicated to driving consumers and merchants to its platform through a diverse range of payment use cases. Our offerings include utility payments, money transfers, and the convenience of Paytm Payment Instruments (PPI) such as Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag, and Paytm Postpaid - Buy Now, Pay Later. For merchants, we provide acquiring devices like Soundbox, EDC, QR, and Payment Gateway, facilitating payment aggregation through PPI and other banks' financial instruments. In addition, Paytm extends commerce services to merchants through advertising and the Paytm Mini app store, with further support for credit services like merchant loans, personal loans, and BNPL, sourced from our financial partners.

About the Role:

We are actively seeking an accomplished Senior Data Scientist to play a crucial role in developing and managing machine learning models. The primary objective is to mitigate risk across the merchant and user journey while promoting growth across diverse segments of our business. This role involves creating deep learning models for Fraud & Risk scenarios and constructing foundational models in-house to understand entities like customers, merchants, and devices within our ecosystem. Collaboration with a skilled engineering and data science team is a key aspect, ensuring the construction and deployment of models at scale. As part of this role, you will have the opportunity to incorporate the latest AI research breakthroughs into our data product offerings.

Responsibilities:

• Develop sequence and graph representation learning for entities within the evolving Paytm ecosystem.
• Fine-tune models for downstream applications related to entity understanding, fraud prevention, and targeted marketing.
• Design, build, evaluate, and maintain ML/DL models for fraud detection while enhancing the end-user experience.
• Collaborate with product and analytics partners to formulate ML problems and align on key deliverables.
• Manage the end-to-end lifecycle of machine learning or deep learning projects, including objective identification, data preparation, model testing and validation, calibration, monitoring, and feedback loop.
• Utilize unsupervised learning methods to enhance existing supervised models or detect portfolio anomalies.

Requirements:

• 4+ years of experience as a Data Scientist.
• Experience in developing and deploying deep neural network models at scale.
• Knowledge of sequence representation learning with recursive (RNN, LSTM, ELMO, etc.) and/or attention-based neural networks (Transformer variations like BERT, GPT, etc.).
• Working knowledge of Knowledge Graph representation learning using Graph Neural Network (GraphSage/GAT/Graph Transformer) is a plus.
• Proficiency in ML/DL frameworks (Keras/Tensorflow/PyTorch) and libraries (scikit-learn, etc.).
• Strong understanding of computer science fundamentals, data structures, and algorithms.
• Familiarity with object-oriented design and Python application development.
• Knowledge of Big Data technologies for managing complex data (SQL, pyspark).
• Familiarity with Scala is a plus.
• Passion for learning and implementing state-of-the-art ML/DL algorithms.
• Experience in fraud risk is a plus.
• BS in Computer Science or MS in Data Science discipline (or equivalent).

Why Join Us:

• Make a meaningful difference and enjoy the journey.
• Be challenged to engage in impactful work for yourself and the community we serve.
• Work with a team that values the potential of technology to improve lives.
• Join a successful company rooted in collective energy and customer-focused dedication.

Learn more about our exciting work in Tech by exploring our Engineering blogs.

Compensation:

If you are the right fit, we believe in creating wealth for you. With over 500 million registered users and 21 million merchants, Paytm is uniquely positioned to democratize credit for deserving consumers and merchants. Join us and be part of India's largest digital lending story!

Please click here to apply.