Lead Data Scientist

Lead Data Scientist

Responsibilities

• Develop and implement AI solutions, including classification, clustering, and anomaly detection
• Conduct statistical data analysis and apply machine learning techniques
• Manage complete project delivery from data preparation to model evaluation
• Utilize Python programming and SQL for data manipulation and analysis
• Engage in ML Ops and model development workflows
• Create models that are accessible for business use
• Collaborate with teams using software development methodologies and version control
• Document processes and maintain project tracking tools such as Jira
• Stay updated with new technologies and apply problem-solving skills effectively
• Deliver production-ready solutions and facilitate knowledge sharing

Requirements

• 9+ years of experience in software engineering, specializing in Data Science
• At least 1 year of relevant leadership experience
• Proficiency in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations
• Experience in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP
• Expertise in complete project delivery, from data preparation to model building, evaluation, and visualization
• Proficiency in Python programming and SQL, with experience in production-level code and data analysis libraries
• Familiarity with ML Ops, model development workflows, and feature engineering techniques
• Capability in manipulating data and developing models accessible for business use, with experience in Azure AI Search
• Competence in software development methodologies, code versioning (e.g., GitLab), and project tracking tools (e.g., Jira)
• Enthusiasm for learning new technologies, with expertise in problem-solving and delivering production-ready solutions
• Fluency in the UNIX command line
• Familiarity with Agile development practices
• Excellent communication skills in English, with a minimum proficiency level of B2+

Nice to have

• Knowledge of Cloud Computing
• Experience with Big Data tools
• Familiarity with visualization tools
• Proficiency in containerization tools