Senior Data Scientist

Summary

Join MentorMate Paraguay, the Latin American headquarters of a global digital transformation consultancy, as a Senior Data Scientist. You will be a critical part of the Data Center of Excellence (DCoE) team, developing advanced machine learning models for anomaly detection and predictive maintenance in manufacturing production lines. Leveraging your expertise in time series analysis and predictive modeling, you will ensure the reliability and optimization of manufacturing processes. This role requires strong collaboration with cross-functional teams and a proven track record in data science within a manufacturing setting. MentorMate offers competitive pay and benefits, flexible working models, and advancement opportunities within a global company.

Requirements

• Proven experience (7+ years) as a Data Scientist, preferably in a manufacturing or industrial setting
• Strong proficiency in ML algorithms for time series analysis and predictive modeling
• Expertise in Python programming and familiarity with popular ML libraries such as scikit-learn, TensorFlow, Keras, or PyTorch
• Solid understanding of anomaly detection techniques and predictive maintenance strategies
• Experience with performance evaluation metrics and model refinement / fine-tuning
• Strong analytical and problem-solving skills, with the ability to interpret complex data and generate actionable insights
• Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively
• Collaborative mindset and the ability to work in a team-oriented environment

Responsibilities

• Design, develop, and implement ML models for anomaly detection and predictive maintenance in production lines, using techniques such as time series analysis and predictive modeling
• Apply and optimize various predictive modeling techniques to improve operational efficiency and reduce downtime
• Evaluate model performance using appropriate metrics and refine models to achieve desired accuracy and reliability
• Collaborate with cross-functional teams, including Engineers, Production Managers, and IT professionals, to integrate ML solutions into the production environment
• Utilize popular ML libraries such as scikit-learn, PyTorch and TensorFlow, as well as programming languages like Python to build and deploy models
• Ensure data quality and integrity by working closely with data engineers to gather, clean, and preprocess production data
• Document solutions, findings, performance evaluation results, and best practices for knowledge sharing and continuous improvement

Preferred Qualifications

• Master's or Ph.D. degree in Data Science, Machine Learning, Statistics, Computer Science, or a related field
• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud

Benefits

• Competitive pay and benefits
• Flexible working models
• Advancement opportunities