Director, Data Science & Engineering

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Requirements:

• Proven leadership in Data Science & Engineering, with experience in start-up and scale-up environments.
• Ability to shape high-level data science strategies and translate them into operational goals.
• Skilled in connecting data initiatives to measurable business outcomes.
• Exceptional communication skills for simplifying technical concepts for diverse stakeholders.
• A leadership style that inspires and supports diverse teams while fostering innovation.
• Willingness to engage with existing data engineering systems and processes.

Responsibilities:

• Drive strategy: Partner closely with the CTO to craft a data science strategy aligned with organizational goals.
• Understand data: Familiarize with data engineering infrastructure and identify optimization opportunities.
• Enable insights: Leverage data to enhance platform stability and performance.
• Integrate MLOps: Operationalize machine learning practices for scalable and reliable models.
• Collaborate cross-functionally: Work with engineering, product, and business teams for innovative solutions.
• Empower teams: Mentor data engineers to foster accountability and growth.
• Foster experimentation: Promote a culture of learning and adaptation to business needs.
• Focus on impact: Lead initiatives that leverage data science for operational improvements and customer value.