Lead ML / Data Scientist

As a Lead Data Scientist, you will be an integral part of our team, contributing to the development and implementation of AI solutions across various applications. Your role will involve conducting statistical data analysis, applying machine learning techniques, and managing complete project delivery from data preparation to model evaluation. Utilizing Python programming and SQL for data manipulation and analysis, you will engage in ML Ops and model development workflows to create accessible models for business use. Key Responsibilities: - Develop and implement AI solutions such as 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 Qualifications Required: - 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 practical applications and limitations understanding - 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 production-level code and data analysis libraries experience - Familiarity with ML Ops, model development workflows, and feature engineering techniques - Capability in manipulating data and developing models accessible for business use, with Azure AI Search experience - 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+ - Knowledge of Cloud Computing - Experience with Big Data tools - Familiarity with visualization tools - Proficiency in containerization tools As a Lead Data Scientist, you will be an integral part of our team, contributing to the development and implementation of AI solutions across various applications. Your role will involve conducting statistical data analysis, applying machine learning techniques, and managing complete project delivery from data preparation to model evaluation. Utilizing Python programming and SQL for data manipulation and analysis, you will engage in ML Ops and model development workflows to create accessible models for business use. Key Responsibilities: - Develop and implement AI solutions such as 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 Qualifications Required: - 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 practical applications and limitations understanding - 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 production-level code and data analysis libraries experience - Familiarity with ML Ops, model development workflows, and feature engineering techniques - Capability in manipulating data and developing models accessible for business use, with Azure AI Search experience - 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