Data Scientist – Manufacturing Analytics

Core Responsibilities:

• Develop and iterate on analytical frameworks to evaluate capacity, throughput, and system constraints across potato fries production stages.
• Collaborate closely with plant teams, engineering, and insights teams to validate assumptions, refine models, and support data-driven decision-making.
• Translate complex datasets into actionable insights through impactful visualizations.
• Build tools and dashboards to monitor key performance metrics and enable self-service analytics.

Key Skills & Qualifications:

1. Technical & Analytical Proficiency
   • Strong command of Python for data analysis and modeling.
   • Experience working with time-series and operational datasets.
   • Familiarity with statistical methods and basic machine learning techniques.
2. Data Visualization & Communication
   • Proficient in visualization tools such as Python libraries and Power BI.
   • Ability to present data findings in clear, concise, and actionable formats.
   • Skilled in storytelling through presentations for both technical and non-technical audiences.
3. Manufacturing Domain Acumen
   • Interest or experience in manufacturing, operations, or industrial systems (e.g., refrigeration, production lines, capacity planning).
   • Ability to understand plant operations and contextualize analysis within process flows and constraints.
4. Problem Solving & Initiative
   • Comfortable tackling ambiguous problems and structuring analytical approaches.
   • Experience designing or enhancing analytical frameworks from scratch.
5. Communication & Stakeholder Engagement
   • Strong written and verbal communication skills with a top-down approach.
   • Ability to collaborate across engineering, operations, and analytics teams.
   • Confident in presenting insights and recommendations to mid-to-senior level stakeholders.

Nice to Have:

• Exposure to manufacturing data systems (e.g., PI System, SCADA, MES).
• Experience with simulation tools or modeling physical processes (e.g., heat transfer, fluid dynamics).