Job Description

1. Strategic Leadership:

• Develop and execute a comprehensive data science strategy that aligns with the overall business objectives and goals.
• Provide strategic guidance to the data science team, ensuring their work aligns with the company's mission and vision.
• Collaborate with the executive team to set the strategic direction for data-driven initiatives and projects.

2. Business Alignment and Integration:

• Work closely with business leaders to identify and understand key business challenges and opportunities that can be addressed through data-driven solutions.
• Translate business objectives into data science initiatives, ensuring they are actionable, measurable, and aligned with business goals.
• Foster a culture of data-driven decision-making across the organization, promoting the use of data insights to drive business strategy and operations.

3. Team Leadership:

• Lead, inspire, and mentor a team, setting clear goals and expectations.
• Foster a culture of innovation, collaboration, and continuous learning within the data science team.

4. Data Analysis and Modelling:

• Lead the development and implementation of advanced analytical and machine learning models to generate insights that drive business improvements.
• Drive advanced analytics and modelling projects to extract actionable insights from extensive datasets.

The Successful Applicant

Professional and Leadership Skills:

• Proven track record of leading and managing data science teams.
• Strong business acumen and the ability to align data initiatives with organizational goals.
• Excellent problem-solving skills and the ability to think creatively.
• Effective communication and presentation skills.
• Ability to work collaboratively and influence cross-functional teams.

Qualifications:

• Master's or Ph.D. in a relevant field (e.g., Data Science, Machine Learning, Computer Science)
• Minimum of 12+ years of experience in data science and analytics.
• Previous experience in the logistics or supply chain industry is a plus.
• Proven leadership experience in managing and growing data science teams