About the position
Huntsman Corporation is seeking a Supply Chain Data Scientist to support the Polyurethanes Division at our facility in The Woodlands, Texas. This role is pivotal in developing innovative analytical approaches that enhance our supply chain operations and strategy. The Supply Chain Data Scientist will be responsible for designing, developing, implementing, and rolling out advanced planning and scheduling models, data analytics tools, process mining, cost-to-serve modeling, and freight management solutions. These efforts will support Huntsman's supply chain management processes, including defining model requirements, constructing models using Huntsman-supported software packages, and providing support to key users. In this position, you will update and support reporting systems primarily through Power BI, which are essential for data analytics and presenting results related to plans, schedules, and KPIs to relevant business functions. The candidate will design, build, configure, test, debug, and maintain various reports and dashboards. Additionally, you will introduce machine learning methodologies across a wide range of business use cases, acquire a deep understanding of business problems, and translate them into appropriate mathematical representations. You will also drive the execution of artificial intelligence (AI) solutions to meet business needs, collect and cleanse complex data sources for analytical modeling, and manage special projects, pilots, proof of concepts, and ad-hoc project work. Collaboration is key in this role, as you will work closely with supply and demand planning business process leads to align business requirements with systems and process solutions that meet Huntsman's overall objectives. You will also support Celonis' process mining models to visualize process flows, identify bottlenecks, and streamline efficiencies through alerts and automated actions. The role requires the development of professional presentations tailored to various audiences, conducting data preparation and cleansing, and building data pipelines to support modeling and operational needs. Ultimately, you will create compelling interactive visualizations and presentations to enhance decision-making capabilities throughout the company.
Responsibilities
- Develop innovative analytical approaches to support supply chain operations and strategy.
- Design, develop, implement, and rollout advanced planning and scheduling models.
- Create data analytics tools, process mining, cost-to-serve modeling, and freight management solutions.
- Update and support reporting systems primarily via Power BI.
- Design, build, configure, test, debug, and maintain reports and dashboards.
- Introduce machine learning methodologies across various business use cases.
- Translate business problems into appropriate mathematical depictions.
- Drive execution of AI solutions to address business needs.
- Collect, cleanse, and understand complex data sources for analytical modeling.
- Manage special projects, pilots, proof of concepts, and ad-hoc project work.
- Support Celonis' process mining models for process visualization and efficiency.
- Collaborate with supply/demand planning leads to align business requirements with systems and process solutions.
- Identify data-driven analytics from concept through deployment to end users.
- Develop professional presentations for various audiences.
- Conduct data preparation and cleansing, and build data pipelines for modeling needs.
- Encourage best practices for experimental design and data analysis across teams.
- Create interactive visualizations and presentations to enhance decision-making.
Requirements
- Bachelor's degree in supply chain, operations management, data science, or related field.
- 3-5+ years of experience as a Data Scientist.
- Experience with development in Power BI, Power Automate, Automation Anywhere, Celonis, HSIMS, and other technologies.
- Experience with SAP (R4) and/or SAP (4HANA).
Nice-to-haves
- Experience with programming, statistical and probabilistic analysis tools such as SPSS, Minitab, R, Python, AIMMS.
- Interest/experience with Machine Learning (ML) and Artificial Intelligence (AI).
- Experience with MRP tools within SAP.
- Experience with Agile project plans or SCRUM.
Benefits
- Equal employment opportunities (EEO) to all qualified applicants.
- Diversity and inclusion initiatives.
- Professional development opportunities.
