Data Scientist – CPSE Eng Ops (Opex Analytics & Automation)
San Diego, California, United States of America
USD 108K-162K Senior-level Full Time
Tasks
- Analyze opex actuals budget and forecast to identify drivers risks and variance
- Apply statistical forecasting and AI techniques
- Build Python datasets models and automation workflows
- Create repeatable run rate analysis spend trends and forecast accuracy
- Define KPIs and success metrics for analytics and AI initiatives
- Design and deploy scalable analytics and automation solutions
- Develop AI ML and GenAI solutions for forecasting anomaly detection and reporting
- Integrate analytics and AI solutions with enterprise systems
- Present insights proposals and recommendations to leadership
- Translate business questions into structured analytical approaches
- Validate data quality logic and outputs for governance
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Automation | Data Modeling | Data Quality | Explainable AI | Forecasting | Generative AI | IBM Planning | IBM Planning Analytics | IBM Planning Analytics TM1 | LLM Agents | Language Models | Language Processing | Large Language Models | Machine Learning | N8n | Natural Language | Natural Language Processing | Oracle ERP | Planning Analytics TM1 | Power Automate | Power BI | Python | SAP | Statistical Analysis | Tableau
Education
Roles
Regions
Countries
States
Cities
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