Senior Architect, Data Science responsible for designing scalable data science architecture. Collaborating across teams and overseeing implementation of robust data science solutions aligned with business objectives.
Responsibilities
Design and develop the overall data science architecture, including data ingestion, storage, processing, and analytics frameworks.
Ensure the architecture supports scalability, performance, and security requirements.
Stay abreast of emerging technologies and trends in data science, machine learning, and big data.
Evaluate and recommend new tools, technologies, and methodologies to enhance data science capabilities.
Work closely with data scientists, engineers, and business stakeholders to understand requirements and translate them into technical solutions.
Foster a collaborative environment that encourages innovation and knowledge sharing.
Oversee the implementation of data science projects from conception through deployment.
Ensure that solutions are deployed in a manner that is consistent with best practices and organizational standards.
Establish and enforce data governance policies and standards to ensure data quality, integrity, and compliance.
Mentor and guide junior data scientists and engineers, providing technical leadership and career development support.
Conduct training sessions and workshops to enhance team skills and knowledge.
Monitor the performance of data science solutions and implement improvements as necessary.
Requirements
Bachelor's or Master's in Computer Science, Data Science, Statistics, or a related field.
Minimum of 10+ years of experience in data science, with at least 3-5 years in an architectural or leadership role.
Proven experience with designing and implementing large-scale data science solutions.**
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