Data Scientist - Manufacturing Analytics Job at Cognizant, Appleton, WI

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  • Cognizant
  • Appleton, WI

Job Description

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

  • 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.
  • 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.
  • 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.
  • Problem Solving & Initiative
    • Comfortable tackling ambiguous problems and structuring analytical approaches.
    • Experience designing or enhancing analytical frameworks from scratch.
  • 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).

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