Get to know Okta
Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences.
Join our team! We're building a world where Identity belongs to you.
The Technology, Data, and Intelligence Team
Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work.
The Staff Data Scientist Opportunity
We are seeking a highly experienced Data Scientist to lead the strategy, development, and operationalization of advanced analytics and predictive insights that power our Go-To-Market (GTM) motion. This role will operate as a senior technical and thought leader within the Enterprise Data & Insights organization, helping steer the evolution of data science capabilities across the company.
You will be responsible for architecting scalable data science solutions that influence revenue, pipeline performance, customer value, and strategic business decisions. This includes setting the long-term data science roadmap, shaping platform and tooling choices, and implementing robust MLOps practices to ensure repeatability, governance, and operational excellence. A key part of this role will be enabling a future-state citizen data science model through the creation of extensible frameworks, reusable assets, and self-service capabilities.
This is a high-visibility, impact-driven role that blends technical depth, product thinking, stakeholder partnership, and organizational leadership.
What you'll be doing
Data Science Strategy & Leadership
Own the end-to-end data science vision and multi-year roadmap, aligning with GTM, Sales, Marketing, Customer Success, and Executive leadership.
Define and drive the evolution of the data science platform, including model development environments, feature stores, ML pipelines, and production deployment frameworks.
Establish and oversee MLOps standards, ensuring reproducibility, model monitoring, versioning, performance tracking, and continuous improvement cycles.
Lead governance frameworks for responsible and transparent ML usage across the organization.
Advanced Analytics & Predictive Modeling
Build, deploy, and scale predictive models and optimization frameworks that impact revenue generation, pipeline health, customer engagement, and churn/retention.
Develop advanced analytics solutions including lead scoring, propensity to buy, churn and risk identification, and deeper insights and correlation analysis on company key performance indicators.
Partner closely with GTM leadership to translate business goals into analytical solutions and communicate complex findings in clear, business-centric terms.
Technical Architecture & Full-Stack Development
Architect and implement full-stack data science workflows: data discovery, feature engineering, modeling, validation, deployment, performance measurement, and iteration.
Collaborate with data engineering to shape the data ecosystem (databases, pipelines, feature stores, compute infrastructure) required for scalable ML.
Deliver reusable libraries, templates, and tools to support a democratized, self-service analytics environment.
Evangelism & Enablement
Mentor and guide data scientists, analysts, and cross-functional teams on ML best practices, capabilities, and opportunities.
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