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Data Scientist

Cognizant
Posted 2 months ago, valid for 16 days
Location

Appleton, Outagamie 54919, WI

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The position involves developing analytical frameworks to evaluate production capacity and system constraints in potato fries manufacturing.
  • Candidates should have at least 3 years of experience and a strong command of Python for data analysis and modeling.
  • The role requires proficiency in data visualization tools and the ability to communicate insights effectively to both technical and non-technical audiences.
  • The salary for this position is $80,000 per year, with a focus on problem-solving and initiative in a manufacturing context.
  • Please note that the role does not offer visa transfer or sponsorship.

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.

 

Key Skills & Qualifications

1. Technical & Analytical Proficiency

  • 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.

2. Data Visualization & Communication

  • 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 story telling for both technical and non-technical audiences.

3. Manufacturing Domain Acumen

  • 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.

4. Problem Solving & Initiative

  • 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.

5. Communication & Stakeholder Engagement

  • 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.

 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

     

     

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




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