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Data Scientist
Job in
Oklahoma City, Oklahoma County, Oklahoma, 73116, USA
Listed on 2026-09-02
Listing for:
Iyan Cloud Tamilnadu
Full Time
position Listed on 2026-09-02
Job specializations:
-
IT/Tech
Data Analyst
Job Description & How to Apply Below
Key Responsibilities
- Analyze manufacturing processes, energy consumption patterns, and operational constraints to identify optimization opportunities.
- Develop and enhance predictive, prescriptive, and optimization models focused on reducing energy consumption and improving operational efficiency.
- Leverage PI Historian (AVEVA PI System) and other manufacturing data sources to generate actionable insights and recommendations.
- Define modeling strategies based on business objectives, process understanding, and site-specific operating conditions.
- Build analytical frameworks that can be replicated and adapted across different manufacturing facilities.
- Partner with business stakeholders, process engineers, and operations teams to drive adoption and value realization.
- Conduct root cause analysis and identify key operating parameters influencing energy performance.
- Monitor model performance and continuously improve solution accuracy, scalability, and business impact.
- Communicate complex analytical findings to both technical and non-technical stakeholders.
- 10+ years of experience in Data Science, Advanced Analytics, or AI within manufacturing environments.
- Proven experience working with PI Historian (OSIsoft/AVEVA PI System) and industrial time-series data.
- Strong experience developing optimization models for manufacturing operations, with a focus on energy efficiency and sustainability use cases.
- Demonstrated ability to understand business problems and translate them into effective analytical and modeling solutions.
- Experience working directly with manufacturing operations, process engineers, and business stakeholders.
- Machine Learning and Advanced Analytics, Statistical Modeling and Predictive Analytics, Optimization Techniques and Prescriptive Analytics
- Python, SQL, Databricks and Azure
- Industrial Data Analytics and Process Monitoring
- Root Cause Analysis and Process Optimization
- Exposure to sustainability, decarbonization, and energy management initiatives will be added advantage.
- Experience working within cross-functional business, engineering, and analytics teams.
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