Architect - Data Science Platform

As a Senior Data Science Architect, your role will involve defining and owning the overall architecture for the data science platform. You will be responsible for designing scalable data pipelines and ETL/ELT processes to ingest, transform, and prepare data for analysis and modeling. Your key responsibilities will include: - Evaluating and recommending appropriate technologies, tools, and frameworks for data science workflows - Developing and enforcing data governance policies and standards - Collaborating with data scientists to understand their analytical needs - Working closely with data engineers and infrastructure teams - Designing and implementing model deployment strategies - Establishing monitoring and alerting systems for data pipelines and deployed models - Researching and evaluating new data science technologies and methodologies - Providing technical leadership and guidance to team members - Communicating complex technical concepts to stakeholders - Contributing to the development of data science best practices To qualify for this role, you must have: - 11 to 14 years of experience in machine learning - Deep understanding of data science methodologies, machine learning algorithms, and statistical modeling techniques - Extensive experience with data warehousing, data lake architectures, and big data technologies - Proficiency in programming languages commonly used in data science - Experience with cloud platforms and their data science services - Strong understanding of data governance, data security, and data privacy principles - Experience with MLOps practices and tools - Excellent problem-solving, analytical, and critical thinking skills This position offers you the opportunity to drive innovation, improve capabilities, and ensure the scalability and performance of data science solutions to handle growing data volumes and computational requirements.,