Data Scientist

Requirements:

• 5+ years' hands-on experience in machine learning, natural language processing (NLP), natural language understanding (NLU), and/or modern AI/ML frameworks (TensorFlow, PyTorch, Hugging Face transformers).
• You can demonstrate experience in using scalable cloud-based tools (e. g., Databricks), version control and collaboration tools (e. g., Git, JIRA), and containerization tools (e. g., Docker, Kubernetes).
• Proficient in writing SQL/Spark scripts, developing robust and efficient modular Python code in a non-notebook environment, creating APIs, and working with Git version control tools.
• Strong analytical and problem-solving skills to develop unique solutions to complex and abstract issues and to provide interpretive advice to business and functional leaders.
• Possess solid problem-solving skills and solid judgement to provide input and advice to senior management.
• You have attention to detail and can apply critical thinking to inform decision-making.
• Strong influential/negotiation skills sufficient to recognize and respond to concerns of multiple interests and to lead/shape the decision-making process in situations that involve complexity and ambiguity.
• Seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.