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Data Scientist – Quality Workstream
GSB Solutions. Develop, implement, and deploy statistical, machine learning, and AI solutions for manufacturing and quality challenges .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in developing and deploying statistical and machine learning solutions for manufacturing analytics, with strong skills in data analysis, visualization, and cross-functional collaboration. Proficient in translating complex data insights into actionable business recommendations.
Highest-signal resume keywords
Machine Learning Solutions DevelopmentStatistical Model DeploymentData Visualization ProficiencySQL Skills for Manufacturing DatasetsCross-Functional Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python ProgrammingR ProgrammingStatistical AnalysisPredictive ModelingData AnalysisDashboard DevelopmentMachine LearningData InterpretationQuality Performance IndicatorsTrend Analysis
Soft Skills
Analytical ThinkingProblem-SolvingCommunication SkillsCollaboration Skills
Industry Keywords
Manufacturing AnalyticsShop-Floor Data AnalysisContinuous ImprovementOperational PerformanceQuality Issues
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Develop, implement, and deploy statistical, machine learning, and AI solutions for manufacturing and quality challenges
- Analyze shop-floor and manufacturing data to identify trends, patterns, correlations, and improvement opportunities
- Develop predictive models to identify potential quality issues and support proactive decision-making
- Identify process variations and factors affecting product quality and operational performance
- Translate data analysis and model outputs into actionable insights and recommendations
- Monitor and evaluate model performance
- Collaborate with cross-functional teams to understand business and manufacturing needs
- Support continuous improvement initiatives through advanced analytics and measurable operational results
- Develop dashboards and visualizations communicating findings, trends, and quality performance indicators
Requirements
What you’ll need- Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or a related technical field
- Minimum 5 years of experience in manufacturing analytics, data science, or machine learning within manufacturing environments
- Strong programming skills in Python and/or R
- Strong SQL skills and experience working with manufacturing datasets
- Hands-on experience developing and deploying statistical and machine learning models
- Experience analyzing manufacturing, production, or shop-floor data
- Proficiency in data visualization and dashboard development
- Strong analytical thinking, problem-solving, and data interpretation skills
- Ability to translate technical findings into actionable business and operational recommendations
- Strong communication and cross-functional collaboration skills
- Advanced conversational English and Spanish essential
- Candidates residing in Mexico must have valid INE, CURP, NSS, and RFC if foreign residents
Benefits
Comp & perks- Excellent superior benefits