NLP Data Scientist

Role Overview: You will be responsible for utilizing your strong hands-on expertise in Python and scripting to develop data solutions. You will focus on MLOps and big data solutions, working on cloud platforms such as AWS and designing end-to-end projects. Additionally, you will be involved in ETL pipeline design, orchestration, and optimization, and utilize containerization technologies like Docker and Kubernetes for data solutions. Your familiarity with data governance, data quality standards, and workflow management will be crucial in this role, as well as your passion for innovation and applying cutting-edge technologies in ambiguous environments. Key Responsibilities: - Utilize Python and scripting for data solutions - Focus on MLOps and big data solutions - Design end-to-end projects on cloud platforms, preferably AWS - Develop ETL pipeline design, orchestration, and optimization - Implement containerization technologies like Docker and Kubernetes for data solutions - Ensure data governance, data quality standards, and workflow management - Drive innovation and apply cutting-edge technologies in ambiguous environments Qualifications: - Bachelors or Masters degree in Computer Science, Data Engineering, Information Technology, or related field - 10+ years of experience in data engineering, architecture, and cloud-based solutions - Strong analytical, problem-solving, and stakeholder management skills - Excellent collaboration and communication skills,