Lead and manage complex data science projects from inception to completion, ensuring high-quality deliverables.
Utilize Azure ML and Databricks to design, develop, and deploy advanced machine learning models and data pipelines.
Analyze large datasets to extract actionable insights and support data-driven decision-making.
Collaborate with cross-functional teams (data engineers, analysts, business stakeholders) to translate business requirements into data science solutions.
Mentor and guide junior data scientists, fostering continuous learning and development.
Stay up-to-date with advancements in data science, machine learning, and AI technologies, applying them to improve models.
Communicate complex analytical concepts and results to non-technical stakeholders clearly and concisely.
Lead the design and implementation of data architecture solutions using Databricks and Azure Data Lake.
Oversee the development and deployment of data science models to solve complex business problems.
Provide technical expertise in ML/Kube/Sagema/Azure ML Admin and Azure ML Studio.
Collaborate with teams to ensure data solutions align with business objectives.
Ensure data integrity and security across all data platforms and solutions.
Develop and maintain documentation for data architecture and processes.
Mentor junior team members in best practices and technical skills.
Conduct performance tuning and optimization of data solutions.
Participate in code reviews and provide constructive feedback to peers.
Troubleshoot and resolve technical issues related to data architecture and machine learning models.
Contribute to the continuous improvement of data processes and methodologies.
Communicate effectively with stakeholders to understand requirements and deliver solutions.