AI Scientist / Engineer (Data Science & Analytics)

About TTS-US:

Founded in 2011, Toyota Tsusho Systems US, Inc. (TTS-US) is a Toyota group company, that develops IT solutions wherever global businesses operate. Transforming into a technology and mobility company, TTS-US with it's 8 TTS affiliates worldwide is establishing a secure and resilient Toyota global value chain. The creative capacity to forge such limitless business opportunities is one of the strengths of Toyota Tsusho Systems.

Position Summary:

We are seeking a highly motivated and experienced AI Scientist / Engineer with 5+ years of experience in Data Science, Data Analytics, Data Engineering, or AI Engineering to join our dynamic AI Business Strategy & Value Realization team. This position is ideal for a candidate with strong expertise in enterprise analytics, AI platforms, data visualization, cloud technologies, and executive reporting, combined with the ability to transform complex data into actionable business insights. The successful candidate will be responsible for designing and operationalizing enterprise AI analytics capabilities, building scalable data pipelines and executive dashboards, developing AI adoption and ROI metrics, and delivering data-driven insights that enable strategic AI investment decisions, governance, cost optimization, and business value realization across a global organization.

Requirements

Essential Functions:

Key Responsibilities

• Design and develop enterprise AI usage dashboards and executive scorecards across multiple AI platforms.
• Build scalable data pipelines to ingest, integrate, and transform AI usage, operational, and financial data from diverse enterprise systems.
• Develop KPIs and metrics for AI adoption, utilization, token consumption, credits, costs, ROI, and business value realization.
• Create executive-level visualizations and reports that support strategic decision-making and AI governance.
• Apply data science and statistical techniques to identify adoption trends, optimization opportunities, forecasting, and value realization insights.
• Collaborate with AI platform teams, IT, Security, Finance, Procurement, and business stakeholders to establish trusted enterprise AI metrics.
• Ensure data quality, governance, and consistency across enterprise AI reporting.
• Support AI portfolio management through cost optimization, utilization analysis, and performance monitoring.
• Recommend improvements to AI measurement frameworks, reporting standards, and executive dashboards.

Minimum qualification

• Bachelor's degree in Computer Science, Data Science, Analytics, Engineering, or a related field (Master's preferred).
• 5+ years of experience in Data Science, Data Analytics, Data Engineering, or AI Engineering.
• Experience building enterprise-scale dashboards using Power BI, Tableau, or similar visualization platforms.
• Strong SQL and Python programming skills.
• Experience integrating data from APIs, cloud platforms, data warehouses, and enterprise systems.
• Knowledge of AI/LLM platforms and associated usage metrics (e.g., prompts, tokens, credits, model utilization, API consumption, costs).
• Experience designing executive dashboards and KPI reporting.
• Strong understanding of data governance, data quality, and analytics best practices.
• Excellent communication skills with the ability to translate complex analytics into executive-level insights.

Preferred Qualifications

• Experience measuring AI adoption, AI ROI, and value realization within large enterprises.
• Knowledge of Azure AI, Microsoft Copilot, Azure OpenAI, OpenAI APIs, AWS AI services, Google Vertex AI, or similar enterprise AI platforms.
• Experience with cloud data platforms such as Azure Synapse, Microsoft Fabric, Databricks, Snowflake, or BigQuery.
• Familiarity with FinOps, AI governance, and enterprise technology portfolio management.
• Experience supporting executive leadership with strategic analytics and performance reporting.

Position Type/Expected Hours of Work

• Contract
• Plano TX
• Standard business hours
• Limited travel expected