Data Scientist - Tribology & Advanced Analytics
INNOVATIQ TECHNOLOGIES PTE. LTD.
Key Responsibilities:
Required Qualifications:
Preferred Qualifications:
- Apply data science and machine learning techniques to model, simulate, and optimize the behavior of lubricants, dispersants, and related materials.
- Collaborate with R&D, Engineering, and Product teams to uncover insights from experimental, simulation, and operational datasets.
- Develop, validate, and deploy predictive models using Azure Machine Learning, supporting product development and process optimization.
- Translate tribological and physico-chemical domain knowledge into interpretable machine learning features and modeling strategies.
- Perform exploratory data analysis (EDA) to identify trends, anomalies, and correlations in large-scale, multi-source datasets.
- Build and maintain pipelines and models for continuous learning and performance monitoring in production environments.
- Contribute to the development of scientific publications, patents, or internal knowledge bases.
- Support data governance, data quality, and reproducibility of scientific modeling efforts.
Required Qualifications:
- MSc or PhD in Tribology, Chemical Engineering, Materials Science, Mechanical Engineering, or a related field with strong data science exposure.
- Solid understanding of lubricants, dispersants, and their chemical/physical mechanisms.
- 3+ years of experience in data science, machine learning, or computational modeling roles.
- Proficiency in Python and key data science libraries (e.g., scikit-learn, pandas, NumPy, matplotlib).
- Hands-on experience with Azure Machine Learning (AML) - model training, deployment, versioning, and monitoring.
- Familiarity with statistical modeling, optimization, and time-series or multivariate analysis.
Preferred Qualifications:
- Experience working with sensor data, lab data, or simulation data in a tribological or chemical context.
- Knowledge of physics-informed machine learning, hybrid modeling, or surrogate modeling techniques.
- Familiarity with tools like MLflow, Databricks, Azure Data Factory, or Power BI.
- Strong communication skills, especially in conveying complex technical insights to non-technical stakeholders.
JOB SUMMARY
Data Scientist - Tribology & Advanced Analytics
INNOVATIQ TECHNOLOGIES PTE. LTD.
Singapore
a day ago
N/A
Full-time
Data Scientist - Tribology & Advanced Analytics