Principal Data Scientist, Pricing Strategy

The Pricing Strategy Team
Okta’s Pricing Strategy team partners across Product, Finance, Sales, and Operations to shape how we package, price, and monetize our portfolio globally. We sit at the intersection of strategy and analytics, translating market signals and customer behavior into clear recommendations that drive growth and value capture. The team’s work is highly cross-functional and directly influences executive decision-making and field execution.

The Principal Data Scientist, Pricing Strategy Opportunity
Reporting to the Head of Pricing Strategy, this role will lead the data science and analytics strategy that underpins portfolio-level pricing and packaging decisions. You’ll combine strong quantitative rigor with strategic thinking to design measurement approaches, build and operationalize models, and run test-and-learn pilots that inform high-impact monetization programs. You will partner closely with senior leaders across Product and GTM to turn ambiguous questions into actionable insights, recommendations, and scalable execution plans.

What you’ll be doing

• Strategic Pricing Influence: Partner with Product, GTM, and Finance leadership to inform portfolio-level pricing, packaging, and discount strategy with data-driven recommendations
• Advanced Analytics and Modeling: Build and operationalize models and analytical frameworks to forecast pricing impact, customer behavior, and revenue outcomes across segments and geographies
• Experimentation and Pilots: Design and evaluate pilots and test-and-learn programs for new pricing initiatives, defining success criteria and measurement plans
• Deep-Dive Insight Generation: Analyze large, complex datasets to uncover drivers of purchasing, discounting, retention, and monetization performance
• Metrics and Dashboard Development: Establish the right KPIs and build dashboards to monitor monetization strategy effectiveness and the ROI of pricing initiatives in real time
• Data Foundation Partnership: Work with Okta Data teams to shape and enhance the foundational data required for pricing analytics initiatives
• Cross-Functional Execution Partnership: Translate strategy and insights into operational requirements, working with stakeholders across Sales, Legal, and Systems teams to enable implementation and adoption

What you’ll bring to the role

• 8+ years of experience in data science, analytics, pricing, strategy consulting, or a related quantitative field (B2B SaaS preferred)
• Proven ability to apply statistical rigor and structured analytics to ambiguous business problems and deliver measurable impact
• Experience designing measurement approaches for business initiatives (e.g., pilots, rollouts, test-and-learn), and communicating results with clarity
• Strong proficiency in SQL and Python, with experience working in modern data environments (e.g., Snowflake) and BI tools (e.g., Tableau)
• Ability to synthesize complex data using quantitative approaches, translate findings into clear visualizations, and deliver executive-ready insights and recommendations
• Demonstrated ability to influence cross-functional senior stakeholders and lead through ambiguity with strong collaboration and ownership

And extra cre