Data Scientist

Core Responsibilities

• Develop and iterate on analytical frameworks to evaluate capacity, throughput, and system constraints across potato fries production stages.
• Work closely with plant teams, engineering, and insights teams to validate assumptions, refine models, and drive data-informed decision‑making.
• Translate complex data into actionable insights using clear and impactful visualizations.
• Build tools and dashboards to monitor key performance metrics and enable self‑serve analytics.

• Strong command of Python for data analysis and modeling.
• Ability to wrangle and analyze time‑series and operational datasets.
• Familiarity with statistical methods and basic machine learning techniques.

• Proficient in data visualization tools (e.g., Python and Power BI).
• Ability to translate data findings into clear, concise, and actionable visuals.
• Skilled in crafting presentations style storytelling for both technical and non‑technical audiences.

• Demonstrated interest in or experience with manufacturing, operations, or industrial systems (e.g., refrigeration, production lines, capacity planning).
• Ability to understand plant operations, process flows, and constraints to contextualize analysis.

• Capable of working on ambiguous problems and breaking them down into structured analytical tasks.
• Demonstrated experience designing analysis frameworks from scratch or improving existing ones.

• Strong written and verbal communication skills with a top‑down approach (start with the “so what”).
• Ability to collaborate cross‑functionally with engineering, operations, and analytics teams.
• Comfortable presenting findings and recommendations to mid‑to‑senior level stakeholders.

• 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

Please note, this role is not able to offer visa transfer or sponsorship now or in the future