True Environmental seeks a Data Scientist to leverage data science, machine learning, and statistical modeling to optimize engineering processes, improve product design, enhance reliability, and drive operational efficiency for their engineering teams.
Requirements
- Strong programming skills in Python, R, SQL; experience with MATLAB or C++ is a plus.
- Hands-on experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Familiarity with engineering software and data (e.g., CAD/CAE, IoT/SCADA systems, sensor data streams).
- Knowledge of predictive modeling, optimization algorithms, and statistical process control.
- Proficiency with Power BI
- Solid understanding of probability, statistics, and experimental design.
- Familiarity with big data platforms (e.g., Spark, Hadoop) and cloud environments (AWS, Azure, GCP).
Responsibilities
- Analyze engineering and manufacturing data to identify patterns and actionable insights.
- Develop predictive models to support quality assurance, process optimization, predictive maintenance, and product performance analysis.
- Build and maintain scalable data pipelines and machine learning models for real-time applications (e.g., anomaly detection, fault prediction).
- Create digital twins, simulation models, or optimization algorithms to support engineering decision-making.
- Visualize complex engineering data and present findings to stakeholders in clear, actionable formats.
- Design and implement modern, scalable data architectures to support AI/ML workloads.
- Implement solutions integrating structured, semi-structured, and unstructured data.
Other
- Bachelor’s or Master’s degree in Data Science, Engineering, Computer Science, Statistics, or related field.
- Strong problem-solving skills with an engineering mindset.
- Ability to communicate complex data insights to engineers, operations staff, and leadership.
- Collaborative, with experience working on cross-disciplinary teams.
- Curiosity-driven and detail-oriented with a focus on continuous improvement.
