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PROS

Lead Applied Scientist

PROS

. Lead explanation, configuration, validation, and best-practice adoption of PROS AI solutions during sales engagements, customer implementations, and strategic initiatives .

Posted 10/13/2026full-timeRemote • United Arab EmiratesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Machine Learning, Statistical Modeling, and AI Techniques, with a strong focus on Pricing, Revenue Management, and Optimization. Proven ability to communicate complex concepts effectively to diverse audiences and drive customer success through tailored solution configurations and analytical frameworks.

Highest-signal resume keywords
Machine Learning ExpertiseStatistical ModelingPython ProficiencyCustomer Engagement ExperienceAnalytical Dashboard Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningStatistical ModelingPricing OptimizationRevenue ManagementForecastingApplied AI TechniquesSQLDatabricksPower BITableau
Soft Skills
Strong CommunicationStakeholder ManagementPresentation SkillsInfluencing Cross-Functional TeamsMentorship
Tools & Technologies
DatabricksPower BITableau
Industry Keywords
Operations ResearchData ScienceDecision ScienceConsulting EngagementsEnterprise Software

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Lead explanation, configuration, validation, and best-practice adoption of PROS AI solutions during sales engagements, customer implementations, and strategic initiatives
  • Collaborate with Research Science, Machine Learning Engineering, Professional Services, Sales, and Product Management teams
  • Validate and operationalize research outcomes by assessing model performance, business impact, usability, robustness, and customer adoption
  • Act as scientific lead for high-impact sales and implementation engagements
  • Guide customers and internal stakeholders on configuring and applying PROS AI solutions
  • Communicate complex machine learning, optimization, forecasting, pricing, and revenue management concepts to technical and non-technical audiences
  • Address advanced customer questions about solution design, methodology, model outputs, and business impact
  • Perform advanced analyses across multiple PROS AI solutions to identify customer value opportunities
  • Recommend solution configurations tailored to customer objectives and industry use cases
  • Develop analytical frameworks, dashboards, and tools supporting implementation, adoption, and business decision-making
  • Validate solution behavior, explain results, and ensure scientific rigor throughout implementations
  • Partner with Research Scientists and Machine Learning Engineers to refine solutions and influence future science capabilities
  • Translate customer challenges into actionable product and science enhancements
  • Help define training programs, implementation methodologies, and best practices for broader self-service adoption
  • Provide mentorship in the AI Research team and scientific guidance across the organization
  • Contribute to thought leadership through presentations, blogs, training materials, webinars, conferences, and industry events
  • Represent PROS at customer-facing events and strategic industry engagements
  • Drive improvements that reduce implementation effort, shorten time-to-value, and improve customer outcomes

Requirements

What you’ll need
  • Master's degree in Operations Research, Data Science, Machine Learning, Statistics, Applied Mathematics, Computer Science, Industrial Engineering, or related quantitative field
  • 10+ years of experience in pricing, revenue management, forecasting, optimization, machine learning, offer optimization, or related decision science disciplines
  • Expertise in statistical modeling, machine learning, and applied AI techniques
  • Strong proficiency in Python, SQL, and Databricks
  • Experience working directly with customers, implementations, or consulting engagements
  • Strong presentation, communication, and stakeholder management skills
  • Ability to explain advanced scientific concepts to technical and executive audiences
  • Demonstrated ability to influence cross-functional teams and strategic decision-making
  • Experience with pricing, revenue management, forecasting, recommendation systems, or offer optimization
  • Experience with multiple AI solution areas such as forecasting, optimization, machine learning, and generative AI
  • Familiarity with reinforcement learning, recommendation systems, LLM applications, or agentic AI workflows
  • Experience working in enterprise software
  • Experience developing analytical dashboards and visualizations using Power BI, Tableau, or Databricks
  • Previous consulting, implementation, customer-success, solution architecture, or technical advisory experience
  • Demonstrated thought leadership through conference presentations, publications, blogs, training programs, or industry engagement

Benefits

Comp & perks
  • Flexible ways of working
  • Continuous learning
  • Opportunities to grow, innovate, and develop professionally
  • Customer success-focused culture
  • Supportive workplace culture