Staff Data Scientist

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

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See yourself at Twilio

Join the team as Twilio’s next Staff Data Scientist.

About the job

This position is needed to drive growth across the full funnel, with a specific mandate to revolutionize our cross-sell and upsell initiatives. In this role you won't just be building models, you’ll be designing the brain behind our revenue engine. You will bridge the gap between complex data science and actionable business outcomes, turning raw data into high-impact data products. Dive into our growth engine focused on developers around the world who use and love Twilio products and surface high potential opportunities for GTM Sales and Marketing teams. You will be part of a highly visible Data Science & Analytics team that serves as the trusted advisor to stakeholders across the company focused on growth. You will get to work with great minds across Marketing, Sales, Product, and Finance.

Responsibilities

In this role, you’ll

• Translate business objectives into a data science roadmap that prioritizes high-LTV (Lifetime Value) growth

• Dig into the science of our self-service funnel and graduation to Sales to uncover optimization opportunities, diagnose issues, and provide actionable recommendations through data products

• Identify leading indicators of revenue and build data science models that surface high potential opportunities

• Serve as a key technical advisor to GTM leadership across Sales and Marketing

• Build extensive knowledge of user behavior, the customer purchase and usage experience, and our lead funnel to inform data science solutions

• Develop sophisticated recommendation engines that identify "next-best-action" opportunities within our existing customer base, ensuring sales and marketing engagement the right person at the right time

• Build robust frameworks to measure the incremental impact of your data products, moving beyond simple correlation to prove true ROI

• Leverage machine learning and generative AI capabilities to support Product-led-growth (PLG) initiatives

• Partner with Data Engineering to define the long-term roadmap for GTM data architecture, ensuring high-fidelity 'source of truth' data for signals like product-qualified leads (PQLs)

• Oversee the seamless integration of data products into the daily workflows of stakeholders, ensuring insights are delivered where they work (Slack, CRM, Wiki/Docs, Tableau, email, etc.)

• Create documentation, dashboards, reports, and executive summaries for your data products

• Partner with Sales, Marketing, Enterprise Technology,