[Urgent] Data Scientist (Mid/Sr Level)

1. Middle:• Be fluent in English.• Have a bachelor’s degree in Computer Science, Applied Mathematics, or related fields.• Have at least 3-5 years of experience in Data Science/Analytics/Computer Vision/NLP, or a similar role.• Advanced Python skills (Pandas, NumPy, Scikit-learn) with modular coding.• Proficient in GitHub/GitLab, SQL, and visualization (Seaborn, Tableau).• Strong ML expertise (random forests, gradient boosting) and evaluation metrics.• Skilled in tabular data feature engineering (XGBoost, CatBoost).• Proficient in NLP (sentiment analysis) using NLTK/spaCy/Transformers..• Experienced in fine-tuning LLMs (BERT) and model serving (Flask, FastAPI, Docker).• Familiar with GCP (BigQuery, Vertex AI) and APIs for ChatGPT/Gemini tasks.• Capable of researching, reading publications, and translating research papers into code.• Have excellent problem-solving skills.• Be self-motivated and eager to learn new technologies and techniques.• Able to collaborate, express and present technical with other team members and stackholder.2. Senior:• Be fluent in English.• Have a bachelor’s degree in Computer Science, Applied Mathematics, or related fields.• Have at least 5 years of industrial experience in NLP and/or Machine Learning (tabular data).• Expert in Python with production-ready code.• Advanced skills in GitHub/GitLab, SQL, and data visualization.• Proven ML expertise (ensemble methods, deep learning) using TensorFlow/PyTorch.• Mastery of tabular data (XGBoost, PCA) and NLP (transformers, sequence modeling).• Skilled in training/serving custom LLMs (GPT) with TensorFlow Serving, FastAPI, Docker/Kubernetes.• Expert in GCP (BigQuery, Vertex AI) for scalable model deployment/monitoring.• Proficient in using ChatGPT/Gemini for advanced applications (e.g., conversational AI) with prompt optimization.• Experienced in MLOps and solution design.• Capable of researching, reading publications, and translating research papers into code.• Have excellent problem-solving skills.• Be self-motivated and eager to learn new technologies and techniques.• Be good at communication and presentation: able to communicate with non-tech stakeholders to understand business as well as present technical solutions.• Have experience in leading data science team.Nice to have• Experience in Big Data, cloud (AWS, Google Cloud, Azure).• Familiar with working with Agile process.• A deep understanding of a specific domain or industry vertical (insurance, logistics,…).