About Innowave Tech Singapore
Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.
Why Join Us
- Work on meaningful problems that make a difference in high-impact industries
- Join a small team that values initiative, ownership, and clear communication
Roles & Responsibilities
We are seeking a Data Scientist with an interest in data analytics, insight generation, and optimization for manufacturing data. In this role, you will work independently alongside senior data scientists to analyze manufacturing datasets involving time-series sensor data, develop statistical analysis, and explore AI/ML.
Your Role and Impact
This role will focus on analyzing complex manufacturing datasets, developing predictive models, and implementing solutions for customers.
What You’ll Do
- Data Analytics & Insight Generation.
- AI/ML Modeling.
- Collaboration & Deployment.
What We’re Looking For
- Minimum Poly, Bachelor’s, or Master’s degree in Data Science, Statistics, Computer Science, Operations Research, Applied Mathematics, Engineering, or a related field.
- Applicants should possess valid Singapore work authorization that does not require company sponsorship or visa support
- Proficiency in Python.
- Solid understanding in statistical analysis and machine learning/deep learning frameworks (Scikit-learn, LightGBM, XGBoost, TensorFlow, PyTorch).
- Experience in data visualization (Plotly, Seaborn, etc.).
- Knowledge in software engineering best practices (modularity, version control, testing).
- Ability to work in cross-functional teams and communicate insights effectively.
- Strong problem-solving mindset and attention to detail.
- Self-motivated learner who quickly adapts to new tools and technologies.
- Knowledge of IoT data and manufacturing processes.
- Experience in deploying models.
- Experience with LLM (prompt engineering, RAG).
