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Chief Data Science Architect
1 month ago
At Hayward Hawk, we are seeking an accomplished Chief Data Science Architect to lead the development and implementation of transformative ML solutions. This role focuses on establishing scalable, high-performance ML systems that are aligned with organizational goals and best practices.
What You'll Do:
- Architect and guide ML solutions that address business needs, ensuring robustness, scalability, and security.
- Define and enforce best practices for end-to-end ML lifecycle, from development to production deployment and maintenance.
- Strategy and Innovation: Lead the strategic vision for the organization's ML capabilities, ensuring alignment with emerging technologies and practices.
- Collaborate with cross-functional teams to understand business needs, translating them into effective ML solutions.
- Team Leadership and Mentoring: Mentor a team of data scientists and machine learning engineers, fostering a culture of collaboration and innovation.
- Provide technical guidance on complex ML challenges and encourage continuous learning.
- Stakeholder Collaboration and Communication: Partner with engineering, product, and business teams to integrate ML solutions that add measurable business value.
- Communicate complex ML concepts to diverse audiences, ensuring clarity and impact.
- Ethics and Compliance: Ensure all models adhere to regulatory standards and ethical principles, advocating for responsible AI usage.
Requirements:
- Educational Background: Masters or Ph.D. in a relevant field (e.g., Computer Science, Data Science, Machine Learning).
- Professional Experience: Extensive experience in machine learning and data science.
- Proven expertise in leading ML initiatives and deploying large-scale models.
- Solid foundation in statistical modeling and algorithm development.
- Technical Skills: Proficiency in Python and Java, with advanced experience in ML libraries like TensorFlow, PyTorch, and Scikit-learn.
- Skilled in cloud-based deployment (e.g., AWS, Azure, GCP) and experience with big data tools and ETL pipelines.
- Soft Skills: Exceptional problem-solving abilities with a collaborative approach.
- Strong communication and leadership skills, adept at managing and motivating teams.
- Ability to operate effectively in fast-paced, agile environments.
Preferred Expertise:
- Background in deep learning, natural language processing, and generative AI.
- Familiarity with MLOps tools and processes.
- Contributions to ML research or open-source initiatives are a plus.
About Us:
Hayward Hawk is an innovative, growth-focused team that offers a vital ML framework. If you are passionate about leading ML solutions and driving business growth, we encourage you to apply for this exciting opportunity.