AI Scientist / Engineer (Data Science & Analytics)

Montek System

Plano, TX, United States

19 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Cloud Computing Information Engineering Data Integration Data Warehousing Executive Information Systems Python (Programming Language) Power BI Standard Sql Tableau (Software)

+7 more

Enterprise Software Applications Large Language Models AI Platforms Information Technology Data Analytics Performance Monitor Data Pipelines

Job description

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.

Requirements

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.