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
Skills Required
- 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
- Experience with Generative AI and LLM-based applications
- Experience working with enterprise customers
- Experience managing distributed teams
What We Do
Quicklizard offers an ML- and AI-powered dynamic pricing platform for retailers and brands. Its software helps companies streamline and optimize pricing across product catalogs, channels, and markets, automating pricing decisions and supporting more confident, responsive retail strategies. The company applies machine learning and artificial intelligence to pricing optimization, enabling retailers and direct-to-consumer businesses to manage prices more efficiently and effectively at scale.
