Senior Data Scientist

• Design, implement, and optimize machine learning models across various domains (e.g., SCM, Manufacturing, Product Management) following the Cross-Industry Standard Process for Data Mining (CRISP-DM) process.
• Train, fine-tune, and optimize deep learning models for diverse applications while handling large-scale datasets for preprocessing and transformation.
• Build and maintain robust data pipelines for AI applications, collaborating with data engineers to optimize infrastructure for efficient ML processing and deployment.
• Deploy, monitor, and optimize machine learning models in production environments, ensuring scalability and performance.
• Implement data security measures such as encryption, access controls, and sensitivity labels to safeguard data privacy and integrity.
• Provide training sessions, share best practices with internal teams, communicate analytical results effectively to business stakeholders, and stay updated with the latest trends and advancements in data science and AI.

• Bachelor’s degree in computer science, Mathematics, Statistics, Data Science, Artificial Intelligence, or a related field.
• Over 7 years of hands-on experience in Data Science, Machine Learning, and AI, with proficiency in Python, R, and ML libraries (e.g., Scikit-learn, Hugging Face, Open AI API).
• Expertise in designing, implementing, and optimizing machine learning models, including hyperparameter tuning, training/validation/testing, and evaluation metrics.
• Proficient in data preprocessing, cleaning, and transformation, with familiarity in deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong experience with MLOps tools (e.g., MLflow, Kubeflow, Docker, Airflow), cloud platforms (AWS, GCP, Azure), and CI/CD pipelines.
• Strong analytical, problem-solving skills, and a solid understanding of mathematics, statistics, and probability theory for AI/ML applications.
• Excellent communication, stakeholder management, and strong interpersonal and collaborative skills.

Soi Kim Kee

suki.kee@ams-osram.com

+65 () 62402395