Head of Data Science
Posted 16 days ago · 56 applicants
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The role in plain words
The Head of Data Science will lead and mentor a global team of data scientists while defining the company's data science strategy. Day-to-day responsibilities include driving the development of advanced machine learning, optimization, and forecasting models, and partnering with product, engineering, and executive leadership to translate business challenges into scalable analytical solutions.
- 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
- Strong business orientation and ability to connect analytical insights to business outcomes
- Experience with Generative AI and LLM-based applications
- Experience working with enterprise customers
- Experience managing distributed teams
Extracted from the job description · kept up to date automatically
Who this suits
This role suits experienced leaders with over eight years of data science experience, an advanced quantitative degree, and a background in SaaS or retail technology. It is less ideal for those seeking a purely individual contributor role or those without experience managing data science teams.
Full job description
Original listing · kept for referenceAt Quicklizard, we're transforming the way retailers make pricing decisions through AI, machine learning, and advanced analytics. Our platform empowers global retailers and brands to optimize pricing, increase profitability, and respond to market changes in real time.
We're looking for a Head of Data Science to lead our Data Science function and drive the evolution of our AI-powered pricing optimization platform. This is a unique opportunity to combine strategic leadership with hands-on innovation, working closely with Product, R&D, Customer Success, and executive leadership to shape the future of our technology.
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
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 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, Strong business orientation and ability to connect analytical insights to business outcomes