Data Scientist

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Applied Mathematics, or a related quantitative/engineering discipline.
• 6+ years of applied Data Science experience involving analysis, feature engineering, statistical modeling, or machine learning on real-world datasets.
• Strong experience with Python and SQL.
• Demonstrated ability to work with large, messy datasets, not only clean analytical extracts.
• Strong data modeling experience.
• Strong data pipeline experience.
• Strong data analytics experience with the ability to extract meaningful insights from complex data.
• Experience building and defending production-quality models involving one or more of:
• Classification
• Regression
• Clustering
• Anomaly detection
• Time-series modeling
• Experience creating features from operational, machine, sensor, process, quality, or maintenance data.
• Ability to explain analytical findings and model limitations to technical and business stakeholders.
• Ability to quickly understand unfamiliar manufacturing or operational processes.