Data Scientist

Data Scientist – AI/ML for Manufacturing & IoT (LATAM, English Required) Base pay range: $4,000.00/yr – $5,000.00/yr. We are looking for a Data Scientist with strong experience applying AI, Machine Learning, and Data Science in manufacturing and industrial environments, including IoT, robotics, and embedded systems. In this role, you will collaborate closely with manufacturing, operations, and business teams to identify high‑impact AI/ML opportunities and lead end‑to‑end machine learning initiatives that deliver real business value. Key Responsibilities Collaborate with manufacturing, operations, and business stakeholders to identify, groom, and prioritize AI/ML use cases, defining project scope, objectives, and success metrics. Own end-to-end machine learning projects, including data collection, data preparation, feature engineering, model development, deployment, and ongoing monitoring in production environments. Analyze large-scale manufacturing data from MES, ERP, and IoT sensor sources to uncover insights and optimization opportunities. Build predictive and prescriptive models for use cases such as quality improvement, predictive maintenance, process optimization, and operational efficiency. Develop and maintain data pipelines and analytical workflows using Python and SQL. Write clean, efficient, and maintainable code to support scalable AI/ML solutions. Translate complex analytical results into clear, actionable insights for non‑technical stakeholders and decision makers. Desired Profile 3+ years of experience in Data Science, Machine Learning, or AI with strong overall professional experience. Proven experience in manufacturing or industrial environments (IoT, robotics, embedded systems). Strong analytical thinking and problem‑solving skills. Excellent communication and collaboration abilities, capable of working with cross‑functional and multicultural teams. Tools & Technologies Advanced proficiency in Python and machine learning libraries such as scikit‑learn, TensorFlow, and PyTorch. Strong SQL skills for data extraction, querying, and manipulation. Experience with data visualization tools such as Power BI or Tableau. Basic understanding of MLOps concepts, including model deployment, versioning, and monitoring. Experience working with time‑series data and sensor‑generated datasets. Additional Requirements Advanced English required for collaboration with international teams. Position open to LATAM, including Mexico. Remote work availability and flexibility to collaborate across time zones. Nice to Have Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of time‑series analysis, anomaly detection, or optimization techniques. Understanding of manufacturing processes, data sources (MES, ERP), and common challenges such as quality control, predictive maintenance, and order backlog management. Benefits Integration with global brands and disruptive startups. Remote work / Home office. If a hybrid or on‑site modality is required, you will be informed from the first interview. Work schedule aligned with the assigned project or team. Monday to Friday work schedule. Day off on your birthday. Major medical insurance (applies to Mexico). Life insurance (applies to Mexico).Multicultural work teams. Access to courses and certifications. Meetups with special guests from the IT industry. Virtual integration events and interest groups. English classes. Opportunities within our different business lines. Proudly certified as a Great Place to Work. Seniority level Mid‑Senior level Employment type Full‑time Job function Other #J-18808-Ljbffr