{"id":3650856,"url":"https://alion.io/job/toyota-tsusho-ai-scientist-engineer-data-science-analytics","title":"AI Scientist / Engineer (Data Science & Analytics)","company":{"id":8078,"name":"Toyota Tsusho","domain":"toyota-tsusho.com","url":"https://alion.io/company/toyota-tsusho-systems","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":5,"ghost_share":0,"stale_share":0.2,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Copilot","optional":true},{"name":"Databricks","optional":true},{"name":"FinOps","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"OpenAI","optional":true},{"name":"Snowflake","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-11-02T00:00:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-11T12:05:41Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"About TTS-US:\nFounded 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.\nPosition Summary:\nWe 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.\nRequirements\nEssential Functions:\nKey Responsibilities\nDesign and develop enterprise AI usage dashboards and executive scorecards across multiple AI platforms.\nBuild scalable data pipelines to ingest, integrate, and transform AI usage, operational, and financial data from diverse enterprise systems.\nDevelop KPIs and metrics for AI adoption, utilization, token consumption, credits, costs, ROI, and business value realization.\nCreate executive-level visualizations and reports that support strategic decision-making and AI governance.\nApply data science and statistical techniques to identify adoption trends, optimization opportunities, forecasting, and value realization insights.\nCollaborate with AI platform teams, IT, Security, Finance, Procurement, and business stakeholders to establish trusted enterprise AI metrics.\nEnsure data quality, governance, and consistency across enterprise AI reporting.\nSupport AI portfolio management through cost optimization, utilization analysis, and performance monitoring.\nRecommend improvements to AI measurement frameworks, reporting standards, and executive dashboards.\nMinimum qualification:\nBachelor's degree in Computer Science, Data Science, Analytics, Engineering, or a related field (Master's preferred).\n5+ years of experience in Data Science, Data Analytics, Data Engineering, or AI Engineering.\nExperience building enterprise-scale dashboards using Power BI, Tableau, or similar visualization platforms.\nStrong SQL and Python programming skills.\nExperience integrating data from APIs, cloud platforms, data warehouses, and enterprise systems.\nKnowledge of AI/LLM platforms and associated usage metrics (e.g., prompts, tokens, credits, model utilization, API consumption, costs).\nExperience designing executive dashboards and KPI reporting.\nStrong understanding of data governance, data quality, and analytics best practices.\nExcellent communication skills with the ability to translate complex analytics into executive-level insights.\nPreferred Qualifications\nExperience measuring AI adoption, AI ROI, and value realization within large enterprises.\nKnowledge of Azure AI, Microsoft Copilot, Azure OpenAI, OpenAI APIs, AWS AI services, Google Vertex AI, or similar enterprise AI platforms.\nExperience with cloud data platforms such as Azure Synapse, Microsoft Fabric, Databricks, Snowflake, or BigQuery.\nFamiliarity with FinOps, AI governance, and enterprise technology portfolio management.\nExperience supporting executive leadership with strategic analytics and performance reporting.\nPosition Type/Expected 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