AI Scientist / Engineer, Data Science & Analytics

Toyota Tsusho Europe

. Design and develop enterprise AI usage dashboards and executive scorecards across multiple AI platforms .

Posted 11/3/2026contractPlano • Texas • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing enterprise AI dashboards and scorecards, utilizing strong SQL and Python skills for data integration and analysis. Proficient in data governance and analytics best practices to support strategic decision-making and AI value realization.

Highest-signal resume keywords

Data ScienceData AnalyticsEnterprise Dashboard DevelopmentSQL ProgrammingPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringKPI DevelopmentData Quality AssuranceStatistical TechniquesData Transformation

Soft Skills

Excellent Communication SkillsCollaboration

Tools & Technologies

Power BITableauAzure AIAWS AI ServicesGoogle Vertex AI

Industry Keywords

AI GovernanceFinOpsEnterprise Technology Portfolio ManagementAI Adoption MetricsValue Realization

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudPythonSnowflakeSQLTableau

About the role

Key responsibilities & impact

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 supporting 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
Join Toyota Tsusho Systems US, Inc.'s AI Business Strategy & Value Realization team to enable strategic AI investment decisions, governance, cost optimization, and business value realization across a global organization

Requirements

What you’ll need

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 usage metrics, including prompts, tokens, credits, model utilization, API consumption, and 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: Experience measuring AI adoption, AI ROI, and value realization within large enterprises
Preferred: Knowledge of Azure AI, Microsoft Copilot, Azure OpenAI, OpenAI APIs, AWS AI services, Google Vertex AI, or similar enterprise AI platforms
Preferred: Experience with Azure Synapse, Microsoft Fabric, Databricks, Snowflake, or BigQuery
Preferred: Familiarity with FinOps, AI governance, and enterprise technology portfolio management
Preferred: Experience supporting executive leadership with strategic analytics and performance reporting
Standard business hours
Limited travel expected