Senior Vice President of Data Science 5637

Senior Vice President, Data Science

Employment Type: Full-Time

Location: Onsite - Atlanta, GAAbout the RoleWe 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.What You'll DoPricing & Revenue Optimization StrategyDefine 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.Data Science LeadershipBuild, 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.Machine Learning & Advanced AnalyticsApply 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.Productization & Platform IntegrationPartner 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.Data & Market IntelligenceBuild 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.Executive & Commercial LeadershipPartner 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.Required Qualifications10+ 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 recommendation models in commercial environments.Deep expertise in:Statistical ModelingMachine LearningTime-Series ForecastingOptimization TechniquesExperimentation FrameworksPredictive AnalyticsExperience working with large-scale transactional, customer, and behavioral datasets.Demonstrated success building and leading Data Science teams.Strong understanding of pricing strategy, demand forecasting, inventory optimization, and revenue management principles.Experience partnering closely with Product and Engineering organizations.Exceptional communication skills with the ability to influence executive stakeholders.Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, Operations Research, or a related quantitative field.Preferred QualificationsAdvanced degree (Master's or Ph.D.) in a quantitative discipline.Experience in industries involving:Dynamic PricingMarketplacesTravelHospitalitySports & EntertainmentE-commerceFinancial MarketsRevenue ManagementExpertise in:Price Elasticity ModelingReinforcement LearningRecommendation SystemsCausal InferenceOperations ResearchSequential Decision-Making SystemsMLOps and Model GovernanceExperience supporting enterprise-scale machine learning platforms.