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Data Scientist - Tribology & Advanced Analytics


INNOVATIQ TECHNOLOGIES PTE. LTD.
8 days ago
Posted date
8 days ago
N/A
Minimum level
N/A
Full-timeEmployment type
Full-time
ITJob category
IT
Key Responsibilities:
  • 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.
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JOB SUMMARY
Data Scientist - Tribology & Advanced Analytics
INNOVATIQ TECHNOLOGIES PTE. LTD.
Singapore
8 days ago
N/A
Full-time

Data Scientist - Tribology & Advanced Analytics