Chief Data Architect

The organization is seeking a seasoned Senior Data Science Professional to lead its data science team. This strategic role will oversee the development and implementation of innovative, data-driven solutions to address complex business challenges.

Responsibilities:

Leadership Role

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling.
• Develop and execute a comprehensive data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes.

Data Science Projects

• Oversee the design and implementation of cutting-edge data science projects that drive value for the organization.
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency.

Communication and Collaboration

• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights.
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results.

Culture and Development

• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels.
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate.

Requirements

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position.

Skills

• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries.
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques.
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively.

Preferred Certifications

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer