[Remote] Staff Data Scientist

Note: The job is a remote job and is open to candidates in USA. Twilio is shaping the future of communications by delivering innovative solutions to businesses and empowering developers worldwide. The Staff Data Scientist role focuses on driving growth through data science initiatives, optimizing revenue strategies, and bridging complex data with actionable business outcomes.

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

Skills

• 7+ years in Data Science/ML, with a proven track record in a GTM or Growth environment (SaaS experience preferred)
• 5+ years of experience with Applied Statistics/Machine Learning or experimentation (i.e. A/B testing) in an industry setting
• Expert-level proficiency in Python/R, SQL, and modern ML frameworks (Scikit-learn, XGBoost, PyTorch, or TensorFlow)
• Experience deploying models into production environments and building scalable data pipelines (Airflow, dbt, Spark)
• Experience initiating and driving projects which leverage Generative AI capabilities to drive productivity and efficiency, preferably in a product or technology organization
• Strong understanding of GTM metrics: CAC, LTV, ARR, ARPU, Pipeline Velocity, Lead-to-Close ratios, etc
• The ability to explain a gradient-boosted tree to a Sales Director and a business strategy to a Data Engineer with equal clarity
• A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
• Masters preferred but not required
• 5+ years of experience doing quantitative analysis at a technology company, consulting firm, investment bank, or product management firm

Benefits

• Competitive pay
• Generous time off
• Ample parental and wellness leave
• Healthcare
• A retirement savings program
• Health care insurance
• 401(k) retirement account
• Paid sick time
• Paid personal time off
• Paid parental leave

Company Overview

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