Data Scientist – Quality Workstream | Remote in Mexico
At a glance
Mid-level Data Science role at GSB Solutions. Remote, Mexico · full-time · MX$120,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and deploy statistical, machine learning and AI approaches for manufacturing and quality problems
- Study shop-floor and production data to spot trends, relationships, process shifts and improvement opportunities
- Create predictive models that flag possible quality problems and inform earlier decisions
- Track model reliability, then turn analytical results into practical operational recommendations
- Build dashboards and work with cross-functional teams on quality measures and continuous improvement
What you bring
- A technical bachelor’s degree in engineering, data science, computer science, statistics or a related area
- At least five years in manufacturing analytics, data science or machine learning in manufacturing settings
- Strong Python or R and SQL skills, plus experience building and deploying statistical or machine learning models
- Advanced conversational English and Spanish, assessed during the hiring process
Who this fits
This remote role suits a mid-level data scientist focused on manufacturing quality and analytics. You must currently live in Mexico; foreign residents must hold valid INE, CURP, NSS and RFC documents.
From the employer
Important IT company At the Latin American level, growth requires:
Data Scientist – Quality Workstream
Key Responsibilities
Develop, implement, and deploy statistical, machine learning, and AI solutions to address 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 the effectiveness and reliability of analytical solutions.
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.
Required Skills and Qualifications
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 (Will be evaluated).
If you are a foreingner residing in Mexico, you must have a valid INE, CURP, NSS and RFC.
Job type: Remote.
Location: Mexico -This position is fully remote; however, candidates must be currently residing in Mexico.
Salary: $120, 000 MXN gross
Benefits: Excellent superior benefits.
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