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.
remoteroles summary, based on the employer's posting.
What you'll do
- Build and deploy statistical, machine-learning and AI solutions for manufacturing and quality problems
- Examine production-floor data for patterns, process shifts and factors tied to product quality or operating results
- Create predictive models that flag possible quality problems and help teams act earlier
- Turn model results into operational recommendations, track model effectiveness and build dashboards for quality indicators
What you bring
- A relevant technical bachelor’s degree, such as engineering, data science or another listed field
- At least five years in manufacturing analytics, data science or machine learning within manufacturing settings
- Strong Python or R and SQL skills, plus hands-on experience building and deploying models
- Advanced conversational English and Spanish, both of which will be evaluated
Who this fits
This role suits a mid-level data scientist who can connect manufacturing data analysis with practical quality and operations decisions. It is fully remote, but you must currently live in Mexico. Foreign residents of Mexico need a valid INE, CURP, NSS and RFC.
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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