ML Data Scientist, Payments - Bengaluru

At eBay, we're more than a global ecommerce leader — we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the fut ...

We're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. · ...

We prioritize candidate safety. Please be aware that all official communication will only be sent from addresses. · Join our growing Payments Data & Analytics team as an experienced Data Scientist. This is an opportunity to be embedded in the engine room of our customer funds ana ...

About Rippling gives businesses one place to run HR IT and Finance It brings together all of the workforce systems that are normally scattered across a company like payroll expenses benefits and computers For the first time ever you can manage and automate every part of the emplo ...

As an ML Data Scientist on our Payments Engineering team at eBay you'll help design and build the ML systems that secure and optimize financial transactions for millions of users worldwide. · ...

At eBay, we're more than a global ecommerce leader — we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. · ...

Join us as an Applied Scientist to deliver applied science solutions for Amazon Payment Products. As an Applied Scientist, you will be responsible for designing and deploying scalable ML models that will impact the payments of millions of customers. · ...

We are looking for an Applied Scientist to deliver applied science solutions for Amazon Payment Products. · ...

Join us an Applied Scientist to deliver applied science solutions for Amazon Payment Products. · ...

We are looking for an Applied Scientist to deliver applied science solutions for Amazon Payment Products. · ...

The ABPL organization is seeking a highly quantitative, experienced Data Scientist to drive the development of science analytics and insights capabilities. · 3+ years of data scientist experience · 3+ years of machine learning, statistical modeling, data mining, and analytics tec ...

Amazon B2B Payments and Lending (ABPL) revolutionize financial services for businesses of all sizes, anywhere in the world, enabling them to delight their customers and make a positive impact to the communities they serve. We never stop innovating to earn their trust by leveragin ...

We never stop innovating to earn their trust by leveraging our scale insights and technology raising the bar with simple secure and seamless solutions. · ...

Amazon B2B Payments and Lending (ABPL) revolutionize financial services for businesses of all sizes, anywhere in the world, enabling them to delight their customers and make a positive impact to the communities they serve. · Partner with technical and non-technical stakeholders a ...

We are seeking a highly quantitative and experienced Data Scientist to drive the development of science analytics and insights capabilities. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environ ...

As the Data Scientist-3, 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. · ...

This role will design and implement advanced data science models. · Lead data science projects. · Analyze complex datasets. · ...

Collaborate with cross-functional teams of designers researchers and data scientists to identify opportunities improve experiences and deliver meaningful customer-focused innovation Uses data to build insights on product or platform requirements consistent with the shared vision ...

This job will design and implement advanced data science models to support business needs. · ...

Product Manager: International Checkout Experience. · Uses data to build insights on product or platform requirements consistent with the shared vision for the product. · Analyzes research, market analysis and usability studies, research and market analysis to support data-driven ...