Senior Data Scientist

Job Description:

• Work with cross-functional teams to identify business challenges and define data-driven solutions.
• Design, build, and deploy end-to-end machine learning pipelines for both structured and unstructured data, encompassing data preprocessing, feature engineering, model training, and exploratory data analysis (EDA).
• Design and implement computer vision solutions (e.g., object detection, image processing classification, recognition, OCR).
• Conduct model evaluation, tuning, and performance monitoring, to ensure robustness, scalability, and seamless integration with engineering teams for product and service deployment.
• Mentor junior data scientists, and contribute to building best practices in data science and AI.
• Write optimized SQL queries to extract and manipulate large-scale datasets from relational databases.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Statistics, or related field with 2-5 years of hands-on experience
• Fluent in English both in oral or written is a must
• Strong expertise in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch).
• Proficiency in SQL and relational database management.
• Experience with computer vision frameworks (OpenCV, YOLO, Detectron, etc.)
• Solid understanding of machine learning algorithms (supervised, unsupervised, deep learning).
• Experience with data visualization tools (Matplotlib, Seaborn, Plotly, or BI tools).
• Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps practices is a plus.