Data Scientist

· Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations.

· Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP.

· Skilled in complete project delivery, from data preparation to model building, evaluation, and visualization.

· Proficient in Python programming and SQL, with experience in production-level code and data analysis libraries.

· Familiar with ML Ops, model development workflows, and feature engineering techniques.

· Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search.

· Adept with software development methodologies, code versioning (e.g., GitLab), and project tracking tools (e.g., JIRA).

· Enthusiastic about learning new technologies and adept at problem-solving and delivering production-ready solutions.

· Additional knowledge in Cloud Computing, Big Data tools, visualization tools, and containerization tools is beneficial.

• · Excellent communication skills in English, with fluency in UNIX command line and familiarity with agile development practices.