SVP, Data Sciences

Tier4 Group; Atlanta (GA); On-site; USD 250,000 - 420,000; Full time

Job summary

Tier4 Group seeks a visionary Senior Vice President of Data Science to lead pricing intelligence, forecasting, and optimization for a fast-growing platform. You will build a world-class DS organization, scale production ML and optimization systems, and partner with Product, Engineering, Revenue, and Executives to create enterprise value.

The role demands deep quantitative expertise, strong commercial acumen, and a track record of driving measurable business outcomes through data-driven decisions.

Qualifications

• 10+ years in Data Science, ML, Analytics or related field.
• Experience deploying pricing, forecasting, optimization, or recommendation models.
• Deep expertise in statistics, ML, time-series, optimization, experimentation, and predictive analytics.
• Experience with large-scale transactional and behavioral datasets.
• Proven success building and leading Data Science teams.
• Strong understanding of pricing strategy, demand forecasting, inventory optimization, and revenue management.

Responsibilities

• Define and execute long-term pricing science, forecasting and revenue optimization strategy.
• Build and lead a high-performing Data Science team across ML, analytics, and engineering.
• Develop production-grade models and ensure governable, auditable deployments.
• Collaborate with Product and Engineering to productize models and scale deployments.
• Build data frameworks to extract insights from large datasets and identify revenue opportunities.
• Partner with executives to translate quantitative findings into strategic business actions.

Skills

Data Science Leadership

Machine Learning

Pricing Science

Revenue Management

Statistical Modeling

Time-Series Forecasting

Optimization Techniques

Experimentation Frameworks

Predictive Analytics

Executive Communication

Education

Bachelor's degree in Computer Science/Stats/Math/Engineering

Advanced degree (MS/PhD) in quantitative field

Job description

Senior Vice President, Data Science

• Employment Type: Full-Time
• Location: Onsite - Atlanta, GA

About the Role

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.

What You'll Do

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.

Data Science Leadership

• 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.

Machine Learning & Advanced Analytics

• 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.

Productization & Platform Integration

• 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.

Data & Market Intelligence

• 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.

Executive & Commercial Leadership

• 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.

Required Qualifications

• 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 recommendation models in commercial environments.
• Deep expertise in:
  • Statistical Modeling
  • Machine Learning
  • Time‑Series Forecasting
  • Optimization Techniques
  • Experimentation Frameworks
  • Predictive Analytics
• Experience 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 Qualifications

• Advanced degree (Master's or Ph.D.) in a quantitative discipline.
• Experience in industries involving:
  • Dynamic Pricing
  • Marketplaces
  • Travel
  • Hospitality
  • Sports & Entertainment
  • E-commerce
  • Financial Markets
  • Revenue Management
• Expertise in:
  • Price Elasticity Modeling
  • Reinforcement Learning
  • Recommendation Systems
  • Causal Inference
  • Operations Research
  • Sequential Decision‑Making Systems
  • MLOps and Model Governance
• Experience supporting enterprise‑scale machine learning platforms.