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Cashfree Payments India Private Limited

Data Scientist-3

Cashfree Payments India Private Limited Bellandur, Karnataka, India

Financial Services · 501-1,000 employees

4 h ago
data-scientist Senior (5-10 yrs) Full-time India
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About the role

You will define and execute the data science roadmap while designing and deploying scalable machine learning models into production. Additionally, you will provide technical leadership, mentor team members, and collaborate with cross-functional teams to deliver data-driven solutions.

What they look for

Machine Learning Statistical Methods Data Science Model Evaluation Scalable Systems Distributed Systems Applied Research Python AWS PySpark Data Engineering Product Strategy Mentoring Mathematical Foundations

Requirements

The role requires 5+ years of experience in applying machine learning and statistical methods to solve complex business problems. Candidates must possess a deep understanding of modern machine learning techniques and experience working with scalable, distributed systems.

Full description

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

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

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