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Top Data Science Jobs in Nagoya

18 Days Ago
10 Locations
Remote
170 Employees
Senior level
170 Employees
Senior level
Fintech • Software • Financial Services
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.
Top Benefits:
401-K
Commuter Benefits
Company Equity
+38 More
15 Days Ago
26 Locations
Remote
709 Employees
Mid level
709 Employees
Mid level
Fintech • Financial Services
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.
18 Days Ago
4 Locations
Remote
170 Employees
Senior level
170 Employees
Senior level
Fintech • Software • Financial Services
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.
Top Benefits:
401-K
Commuter Benefits
Company Equity
+38 More
9 Days Ago
Japan
9,059 Employees
Entry level
9,059 Employees
Entry level
Biotech
As a Data Scientist at Sartorius, you will provide technical guidance and training to customers, consult on data analytics projects, and collaborate with internal teams. Your tasks will include data analysis, building models using Umetrics software, and creating documentation. You will also support the sales team and travel to customer sites as needed.
9 Days Ago
4 Locations
Remote
138 Employees
Mid level
138 Employees
Mid level
Fintech • Information Technology • Consulting • Financial Services • Cryptocurrency
Collaborate with analysis and development teams on data modelling activities, contribute to data application projects, possess expertise in data warehousing and big data technologies, and demonstrate strong communication skills.
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