Manager, Data Science

1 week ago

Singapore VESTA PAYMENT SOLUTIONS PTE. LTD. Full time

At Vesta, we envision a world without e-commerce fraud. We’re passionately pursuing that future by building industry leading SaaS solutions for fraud protection and guaranteed e-commerce payments to a global customer base. We are headquartered in Portland, Oregon with offices in the US, Singapore, Ireland and Mexico.

Our Machine Learning team is seeking a highly motivated Manager of Data Science to join our team. Vesta relies on machine learning at the core of its product offerings which help our e-commerce customers maximize revenue and minimize fraud. As a Manager of Data Science on the Machine Learning team, you will work with data scientists and machine learning engineers to build machine learning products across the full ML lifecycle: from data to feature engineering, model training, and deployment. You’ll work with the latest cloud and ML technologies to create end-to-end machine learning solutions for our customers across the globe.

You’ll lead a team of talented data analysts and data scientists who are using cutting edge methods to detect fraud, mitigate fraud attacks. As the Manager of Data Science, you will ensure that our models and model delivery is fast, reliable, and highly scalable.

Core Responsibilities:

- Lead a team of data scientists and analysts that build and operate our fraud detection and approval optimization systems.
- Recruit high caliber technical talent, providing hand-on coaching and technical mentorship to the team.
- Work with your team to create high quality ML models using the latest open source and cloud technologies
- Work as a cross-disciplinary team with data scientists, engineers, product and operations to solve complex problems
- Play a leadership role in all stages of a machine learning solution: from ideation, through model development through monitoring and updating of models live in production
- Create our ML infrastructure, including data & model training pipelines, MLOps and monitoring/anomaly detection
- Focus on our customers and identify new areas where machine learning and new technologies can create better customer outcomes
- Build a team culture where everyone works together to improve.

Other: On occasion this role may require off-hours work in order to address escalations or urgent concerns

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