Senior Vice President of Data Science

We are seeking a visionary and hands-on Senior Vice President of Data Science to lead the strategy, development, and execution of advanced pricing, forecasting, and optimization capabilities across a rapidly growing technology platform.

This executive leadership role will be responsible for building and scaling a world-class Data Science organization focused on transforming large-scale transactional and behavioral data into actionable pricing intelligence and revenue optimization solutions. The ideal candidate combines deep quantitative expertise with strong commercial acumen and has a proven track record of building production-grade machine learning and optimization systems that drive measurable business outcomes.

You will serve as a strategic partner to Product, Engineering, Revenue, and Executive Leadership, helping define how data science creates long-term competitive advantage and enterprise value.

Pricing & Revenue Optimization Strategy

• Define and execute the long-term vision for pricing science, forecasting, and revenue optimization.
• Develop sophisticated pricing models that maximize revenue, inventory utilization, and customer value.
• Create dynamic forecasting and demand prediction models that adapt to changing market conditions.
• Build methodologies for measuring pricing performance, revenue impact, forecast accuracy, and model effectiveness.
• Establish guardrails, business rules, and decision frameworks that balance automation with operational oversight.

• Build, lead, and mentor a high-performing team of Data Scientists, Machine Learning Engineers, Quantitative Analysts, and related technical talent.
• Establish standards, methodologies, and best practices for model development and deployment.
• Foster a culture of experimentation, innovation, accountability, and continuous learning.
• Drive the professional growth and development of technical teams while maintaining a high bar for scientific rigor.

• Apply machine learning, statistical modeling, optimization techniques, and experimentation frameworks to complex business challenges.
• Develop models that leverage transactional, inventory, customer, and market data to improve decision-making.
• Design systems that continuously improve as new data becomes available.
• Evaluate emerging technologies and methodologies that can create strategic advantages.
• Partner closely with Product and Engineering teams to transform research into scalable production systems.
• Ensure models are explainable, measurable, auditable, and suitable for enterprise deployment.
• Establish model monitoring, validation, retraining, and continuous improvement processes.
• Support the development of automated decisioning systems capable of operating at scale.
• Build frameworks for extracting insights from large and complex datasets.
• Assess new internal and external data sources to improve predictive performance.
• Identify market patterns, customer behaviors, and revenue opportunities through advanced analytics.
• Develop analytical capabilities that support strategic planning and operational decision-making.
• Partner with executive stakeholders to align data science initiatives with business objectives.
• Translate complex quantitative findings into actionable business recommendations.
• Influence company strategy through data-driven insights and performance analytics.
• Serve as a key leader in identifying opportunities to drive growth, profitability, and competitive differentiation.

• 10+ years of experience in Data Science, Machine Learning, Quantitative Analytics, Pricing Science, Revenue Management, or a related discipline.
• Proven experience developing and deploying pricing, forecasting, optimization, or…