Director Data Science - Analysis

Organizational Change Management

• Manage organizational change effectively, whether it involves new technologies, processes, or initiatives.
• Communicate the rationale for change, involve key stakeholders in decision-making, and manage resistance effectively.
• Develop and implement change management plans that minimize disruption and ensure that your team is able to adapt to new ways of working.
  

What Did We Order?

• A minimum of 8-10 years of professional experience in data science, including leadership roles in data science teams or consulting.
• A Ph.D. or Master's degree in a relevant field such as computer science, statistics, data science, or a related disciplines
• Proven experience in leading and managing managers and a demonstrated ability to foster a high-performance team culture.
• Must possess a deep and practical knowledge of data science, encompassing statistics, causality, experimentation, and causal inference, as well as knowledge in modeling.
• Must have a track record of applying these skills and leading teams to design and implement innovative data-driven products and deliver impactful insights and recommendations
• Business Acumen:
  • Proven ability to understand and navigate complex business landscapes, including familiarity with industry-specific challenges and opportunities.
  • Demonstrated experience in identifying and quantifying the business impact of data-driven initiatives, such as revenue growth, cost savings, and customer retention.
• Strategic Thinking
  • A strategic mindset with the ability to envision and communicate long-term data-driven goals and objectives that align with the organization's overall strategy.
  • Proficiency in developing and executing data-driven roadmaps and plans that drive innovation, competitive advantage, and market growth.

Who we are