A growing B2B SaaS company is looking for an experienced Head of Data Science to lead its Data Science function and drive the next generation of AI and machine learning capabilities.
This is a strategic leadership role combining people management, hands-on problem-solving, cross-functional collaboration, and ownership of data-driven innovation across the organization.
Responsibilities
Lead and mentor a global team of Data Scientists
Define and execute the company's Data Science strategy
Drive the development of advanced machine learning, optimization, and forecasting solutions
Partner closely with Product, Engineering, Customer Success, and executive leadership
Translate complex business challenges into scalable analytical solutions
Support customer-facing initiatives and strategic engagements when needed
Establish best practices for experimentation, model evaluation, and performance measurement
Act as a key stakeholder in shaping the company's AI vision and roadmap.
Requirements: 8+ years of experience in Data Science, Machine Learning, Statistics, Operations Research, Economics, or a related field
Proven experience leading Data Science teams
M.Sc. or Ph.D. in a quantitative discipline
Strong expertise in machine learning, predictive analytics, optimization, forecasting, and statistical modeling
Experience in fintech, revenue optimization, forecasting, recommendation systems, retail technology, or similar data-intensive domains
Strong business orientation and ability to connect analytical insights to business outcomes
Excellent communication and stakeholder management skills
Experience working in a SaaS environment
Fluent English
Advantage
Experience with Generative AI and LLM-based applications
Experience working with enterprise customers
Experience managing distributed teams.
This position is open to all candidates.