Senior Data Scientist
First seen by Alion on Aug 19, 2026.
Role Overview :
This role requires a strong understanding of manufacturing processes, energy systems, industrial time-series data, and advanced analytics. The successful candidate will work closely with process engineers, mill leadership, energy managers, and internal data scientists to drive adoption of AI-powered optimization recommendations across Kimberly-Clark's manufacturing network.
Responsibilities :
- Collaborate with the internal Data Science team to scale and deploy Energy Optimization AI solutions across multiple mills.
- Analyse 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 modelling 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.
Requirements:
- Bachelor's or Master's degree in Data Science, Engineering, Statistics, Applied Mathematics, or a related field.
- 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.
Technical Skills:
- 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.
Preferred Experience:
- Exposure to sustainability, decarbonization, and energy management initiatives will be an added advantage.
- Experience working within cross-functional business, engineering, and analytics teams.
Skills
Data Science, Machine Learning, Python, SQL, Aveva PI, Predictive Modeling, Analytics, Data Scientist