Data Scientist – Quality Workstream
New
G
GSB SolutionsManufacturing analytics
Remote in Mexico; candidates must be currently residing in Mexico.Full-TimeSenior
Salary120,000 MXN per year
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Job Details
- Languages
- ADVANCED CONVERSATIONAL ENGLISH AND SPANISH ESSENTIAL
- Experience
- Minimum 5 years of experience in manufacturing analytics, data science, or machine learning within manufacturing environments.
- Required Skills
- PythonSQLMachine LearningData visualizationR
Requirements
- 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.
Responsibilities
- Develop, implement, and deploy statistical, machine learning, and AI solutions for manufacturing and quality-related challenges.
- Analyze shop-floor and manufacturing data to identify trends, patterns, correlations, and opportunities for improvement.
- Develop predictive models to identify potential quality issues and support proactive decision-making.
- Identify process variations and factors that may impact product quality and operational performance.
- Translate data analysis and model outputs into actionable insights and recommendations.
- Monitor and evaluate model performance to ensure analytical solutions are effective and reliable.
- Collaborate with cross-functional teams to understand business and manufacturing needs and translate them into data-driven solutions.
- Support continuous improvement initiatives through advanced analytics and measurable operational results.
- Develop dashboards and visualizations to communicate findings, trends, and quality performance indicators.
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