Principal Data Scientist, Pricing Strategy

Okta•San Francisco, WA

11h•Hybrid

About The Position

Okta is seeking a Principal Data Scientist for its Pricing Strategy team. This role will lead the data science and analytics strategy for portfolio-level pricing and packaging decisions. The team partners with Product, Finance, Sales, and Operations to shape how Okta packages, prices, and monetizes its portfolio globally. This position requires a blend of quantitative rigor and strategic thinking to design measurement approaches, build and operationalize models, and run test-and-learn pilots that inform monetization programs. The role involves close collaboration with senior leaders across Product and Go-To-Market (GTM) teams to translate ambiguous questions into actionable insights and execution plans.

Requirements

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.

Nice To Haves

Experience in pricing, packaging, monetization, or growth strategy for multi-product SaaS portfolios.
Familiarity with forecasting, optimization, or causal measurement methods in a business context.
Experience partnering with Sales/GTM teams to drive adoption of new programs and measure field impact.

Responsibilities

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