Staff Data Scientist
About the role
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
- 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, Product, and Ops teams to bring relevant data science products to life
Qualifications
Twilio values dive