Data Scientist-2

3 days ago

Bengaluru, India Cashfree Payments Full time

Cashfree Payments is India’s leading payments and API banking company. It provides full-stack payment solutions for businesses in India to accept payments and make payouts via 180+ payment modes - all with a simple integration. Over 6,00,000+ Businesses trust Cashfree Payments with payment collections, vendor payouts, salary payouts, bulk refunds, expense reimbursements, loyalty and rewards, and so much more.

We enable businesses of all we are building the payments infrastructure of tomorrow, today.

We entered the payments industry in 2015 to facilitate Cash-on-Delivery payments for e-commerce businesses. We are also contributing to the pace of digitization of India by working closely with traditional banks to increase ease and convenience for last-mile customers.

About the role:

As the Data Scientist-2, you will :

• Work with stakeholders to define and own data science road map for one or more business areas and build the data science projects at Cashfree from scratch.

• Deliver scalable machine learning solutions to production

• Provide technical and scientific leadership to the team

• Roll up your sleeves and do hands-on work when needed

• Build strong working relationships and collaboration with leaders in product, business, and engineering teams

• Establish and improve the best data science and engineering practices for the team

• Maintain a healthy balance between delivery and applied research

Profile :

• In-depth understanding of modern machine learning techniques and their mathematical underpinnings.

• 3+ years of experience in applying machine learning and statistical methods to solve complex problems at scale.

• Experience with big data technologies

What we offer:

- Everyone is empowered to make decisions.
- Transparency in communication keep us aware of where we are heading, and honest feedback helps everyone to grow quickly and in all directions.
- You also have flexible timings and a great office space to work in.
- Meal coupons and Uber Credits.

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