Data Scientist-3
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 10, 2026.
At Cashfree Payments, we’re not just shaping the future of payments-we’re moving fast to scale businesses at every stage, with deep expertise in powering India’s D2C and e-commerce growth.
Founded in 2015, we process transactions worth $80B annually and are trusted by more than 800,000 businesses. Authorised by the Reserve Bank of India, we are one of the first entities to receive critical licences like PA-PG, PA-CB and PPI in the sector. We enable seamless collections, payouts, identity verification, and fraud detection.
We are backed by Silicon Valley investor Y Combinator, Apis Partners, Krafton Inc, State Bank of India (SBI), and were incubated by PayPal.
About the Role: Data Scientist - 3
As a Data Scientist - 3, you will:
Partner with stakeholders to define, own, and execute the data science roadmap for one or more business domains, building impactful solutions from the ground up
Design, develop, and deploy scalable machine learning models into production environments
Provide strong technical and scientific leadership, mentoring team members and driving best practices
Take a hands-on approach to solving complex data problems when required
Collaborate closely with crossfunctional teams across product, business, and engineering to deliver data-driven solutions
Establish, standardize, and continuously improve data science and engineering practices within the team
Balance business delivery with innovation by contributing to applied research and experimentation
Innovation: Challenge the status quo, simplify complexity, embrace new technologies, and turn curiosity → experiment → insight → solution into elegant, reliable, scalable systems that create lasting value.
AI Engineering: Build practical expertise in AI, LLMs, agents, automation, and emerging technologies to transform engineering workflows with context-aware, evidence-based, reliable, validated, and safely controlled AI solutions.
Profile
Deep understanding of modern machine learning techniques and their mathematical foundations
5+ years of experience applying machine learning and statistical methods to solve complex, large-scale business problems
Strong expertise in model evaluation techniques and the ability to align model performance with business objectives
Experience working with scalable and distributed systems
Proven ability to translate business problems into data science solutions
Good to Have
Experience with cloud platforms such as AWS OR PySpark or other distributed data processing frameworks