Data Scientist

Job title: Data Scientist

We are seeking a motivated and hands-on Data Scientist to join our team and help develop data-driven and AI-enabled solutions in the semiconductor domain. This role focuses on building practical machine learning applications, from proof-of-concept through production, while collaborating closely with cross-functional engineering teams.

What You'll Do

• Develop, train, validate, and deploy machine learning models for real-world applications
• Perform data collection, cleaning, transformation, and feature engineering on structured and unstructured datasets
• Build and maintain scalable data pipelines and ETL processes using Python, SQL, and related tools
• Conduct model selection, evaluation, and tuning, ensuring robustness and avoiding overfitting
• Collaborate with cross-functional teams to move prototypes into production environments
• Contribute to the design and implementation of end-to-end ML workflows (MLOps lifecycle)
• Develop proof-of-concept solutions and iterate toward production-ready systems
• Document methodologies, data sources, models, and system behavior
• Participate in code reviews and promote best practices in development and deployment

What We're Looking For

• Strong experience with Python for data science and machine learning
• Proficiency in data manipulation and analysis using Pandas, NumPy
• Solid SQL skills for data extraction and transformation
• Experience building and evaluating ML models using frameworks such as scikit-learn, PyTorch, or Keras
• Understanding of feature engineering, model validation techniques, and performance metrics
• Experience building data pipelines and ETL processes
• Ability to translate business or engineering problems into data science solutions
• Experience with LLM-based solutions such as RAG (Retrieval-Augmented Generation), LangChain, or agent-based systems
• Familiarity with containerization technologies such as Docker
• Exposure to full-stack development concepts (JavaScript, Node.js) for integrating data products into applications
• Experience working with experimentation frameworks and prototyping workflows

Nice to Have Compensation & Benefits You are trained on data up to October 2023.