Top Machine Learning Jobs in Yokohama

The Sr. Data Scientist will lead model development for Empower's Southeast Asia launch, focusing on credit risk models to increase approval rates while reducing loss rates. Responsibilities include collaborating with stakeholders, building machine learning models, and improving financial product offerings.

Lead Credit and Data Science functions for international markets. Develop risk models, credit policies, and innovative products to enhance customer experience and business growth. Collaborate with teams to adapt strategies based on market-specific data and consumer behavior.

The Field Applications Engineer provides technical support for KLA products in customer fabrication facilities, assists sales in product applications, implements customer installation plans, and develops new use cases for KLA products. The role involves collaboration with cross-functional teams and requires strong analytical, problem-solving, and communication skills, along with knowledge in semiconductor fabrication, optics, and machine learning.

As a Lead Data Engineer, you'll design, develop, and automate scalable data engineering products. You'll optimize data processes, implement data ingestion frameworks, and leverage machine learning to enhance solutions. Additionally, you will mentor junior team members, collaborate with stakeholders, and ensure data visualization standards are maintained for effective analytics-driven decision making.

As a Credit Data Scientist, you will lead the development of credit models, collaborate with product managers and engineers, design experiments to validate business hypotheses, and mentor your team. The role involves building innovative products in credit for Southeast Asia's unique market demands.

The Sales Engineering & Energy Markets Manager will commercialize Fluence’s Mosaic software in Japan, support the sales process with data analysis and electricity market expertise, develop sales materials, and engage customers to identify needs. This role requires collaboration with the Business Development team and an understanding of system integration for energy storage assets.