Staff Data Scientist

Job Summary

Join Twilio as a Staff Data Scientist, working remotely in the US. You'll drive growth across the full funnel, focusing on revolutionizing cross-sell and upsell initiatives. This role involves designing the brain behind Twilio's revenue engine, bridging complex data science and actionable business outcomes.

Responsibilities

• Translate business objectives into a data science roadmap prioritizing high-LTV growth
• Analyze the self-service funnel to uncover optimization opportunities and provide actionable recommendations
• Identify leading indicators of revenue and build data science models to surface high-potential opportunities
• Serve as a key technical advisor to GTM leadership across Sales and Marketing
• Build extensive knowledge of user behavior, customer purchase and usage experience, and lead funnel to inform data science solutions
• Develop sophisticated recommendation engines to identify 'next-best-action' opportunities
• Build robust frameworks to measure the incremental impact of data products
• Leverage machine learning and generative AI capabilities to support Product-led-growth initiatives
• Partner with Data Engineering to define the long-term roadmap for GTM data architecture
• Oversee the seamless integration of data products into stakeholders' daily workflows
• Create documentation, dashboards, reports, and executive summaries for data products
• Partner with Sales, Marketing, Enterprise Technology, Product, and Ops teams to bring relevant data science products to life

Qualifications

Required

• 7+ years in Data Science/ML with a proven track record in a GTM or Growth environment
• 5+ years of experience with Applied Statistics/Machine Learning or experimentation
• Expert-level proficiency in Python/R, SQL, and modern ML frameworks
• Experience deploying models into production environments and building scalable data pipelines
• Experience initiating and driving projects leveraging Generative AI capabilities
• Strong understanding of GTM metrics: CAC, LTV, ARR, ARPU, Pipeline Velocity, Lead-to-Close ratios, etc.
• Ability to explain complex concepts to both technical and non-technical stakeholders

Desired

• A degree in a quantitative field
• Master's preferred but not required
• 5+ years of experience doing quantitative analysis at a technology company, consulting firm, investment bank, or product management firm

Location and Travel

• This role will be remote and based in the USA
• Not eligible to be hired in CA, CT, NJ, NY, PA, WA
• Approximately 5% travel anticipated for in-person meetings

What We Offer

• Competitive pay
• Generous time off
• Ample parental and wellness leave
• Healthcare
• Retirement savings program
• Equity plan and corporate bonus plan

Compensation

• Estimated pay ranges:
• Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont, Washington D.C.: $155,520 - $194,400
• New York, New Jersey, Washington State, California (outside of San Francisco Bay area): $164,640 - $205,800
• San Francisco Bay area, California: $182,960 - $228,700