Head of Data Science
Country
Spain
City
Barcelona
Contract
Permanent
Impact driven company
Company
Head of Data Science
In this hands-on leadership position, you will be responsible for developing and executing a comprehensive data strategy that drives business growth and enhances climate risk prediction capabilities. You will provide strategic direction to a talented team of data scientists and data visualization experts, fostering a collaborative and innovative environment. You will also act as a key partner to various departments, translating complex data insights into actionable strategies that propel the group forward.
Your Impact
Leadership and Strategy
Develop and champion a data science strategy aligned with the group’s' overall business goals.
Provide strategic leadership and direction to the data science team, ensuring strong alignment with company objectives (+3 years of experience leading Data teams required).
Collaborate with cross-functional teams (Science, Tech, Product, Sales) to embed data insights into core decision-making processes.
Build and maintain strong relationships with key stakeholders across the company to foster a data-driven culture and champion the value of AI and data science.
Team Management
Lead the recruitment, mentoring, and professional development of a high-performing data science team and data visualization experts.
Cultivate a collaborative and innovative team environment that fosters intellectual curiosity and continuous learning.
Data Governance and Compliance
Establish and enforce data governance and quality assurance policies to ensure data integrity and security.
Collaboration
Partner with cross-functional teams to identify and address data-related challenges and opportunities related to climate risk prediction.
Serve as a strategic advisor to company leadership, providing data-driven insights that contribute to the group’s growth and competitive edge.
Data Science
Work closely with the data science team to develop and implement advanced analytics models, machine learning algorithms, and artificial intelligence solutions in the climate risk domain.
Requirements
+3 years of proven experience leading and managing a data science team.
+4 years of hands-on data experience in commercial industries.
Previous experience working in high-paced scale-up or start-up environments.
Advanced degree (PhD preferred) in Data Science, Computer Science, Statistics, or a closely related field.
Demonstrated track record of successfully implementing data-driven solutions with a focus on climate risk prediction.
Strong leadership, communication, and interpersonal skills with the ability to motivate and inspire a team.
Proficiency in programming languages commonly used in data science (Python, R, etc.).
Experience with cloud platforms (AWS, Azure, GCP) a plus.