Develop and evaluate machine-learning algorithms, use behavioral and customer data to propose value, build prototype applications, collaborate with business teams, and publish research.
Lead AI strategy and business-model transformation for major enterprises, align C-suite stakeholders, design AI CoEs, and guide strategy through implementation with executive leadership.
Build data pipelines and machine-learning models for commercial real estate, tune inference, and lead AI product PoCs and MVPs with business teams. Hybrid remote work is available in Tokyo.
Visa is seeking a Senior Manager to lead data science work supporting business and strategy analytics in Japan, based in Tokyo.
Lead AI and DX projects as a project manager by organizing requirements, managing progress and issues, negotiating with clients, preparing materials, and coordinating teams of 3–10 members.
Develop and deploy Python-based BQuant applications, consult with financial clients on investment strategies, and partner with Sales and engineering teams to improve workflows.
Designs and builds AI agents and data platforms that model management KPIs, forecast scenarios, gather external insights, and generate reports to support company decision-making.
Lead product improvement and new-product initiatives for MiiTel and related services, balancing user needs, business impact and engineering capacity while coordinating engineers and business teams.
Leads AI and data consulting from client discovery through solution design, proposals, delivery, and project support, while developing leads and data-driven transformation initiatives.
Partner Solutions Architect enables consulting and system integrator partners on Databricks, leading technical workshops and advising on data, cloud, and AI platform adoption.
Design and develop web, cloud, mobile, PC, image-analysis and AI applications for Canon imaging and network-camera products. The role covers architecture, infrastructure, development, testing, operations and DevOps, with remote work available.
Analyze in-game data from consumer games, build and validate statistical and machine-learning models, extract data with SQL, improve analytics foundations, and propose actions from findings.
Design and implement machine-learning algorithms using tabular, natural-language, and image data, then work with consultants and software engineers to turn client solutions into usable software.
Advise clients on data strategy, build DWH and BI foundations, and use SQL, Python, machine learning and CRM analytics to improve marketing, forecasting and business operations.
Develop AI combining causal analysis of HR data with generative AI to build causal models, predict initiative effects, and produce interpretable proposals.
Develop AI features for a natural-language-processing SaaS, taking ideas from user problems through experiments and validation to production code integrated into the product.
Develop AI solutions from PoC through production, building models, APIs and MLOps platforms. Translate business needs with consultants and support client adoption. Remote work is available.
The Machine Learning Engineer will be responsible for engineering tasks related to bid optimization logic, including data analysis and A/B testing.
Drive AI and data-based digital transformation for environmental plants, analyzing plant-operation data and developing AI control algorithms from proof of concept through operational system implementation. Remote work is available.
Advise clients on data utilization through machine-learning services, shaping data strategies, identifying business questions, supporting education, and guiding implementation and review.
Lead data scientist for the Generative AI Lab, focusing on model evaluation and business application of AI technologies.
Develop AI and computer-vision technologies for mobility products, including automated parking, occupant-state estimation, road anomaly detection, and behavior prediction for vehicle access.
Analyze user and access logs, surveys, and other data to support game-title teams with issue discovery, strategy planning, and measurement. The role also helps build internal data platforms and promote data literacy.