Staff Data Scientist

Twilio Twilio · Enterprise · United States · Remote · Finance

Staff Data Scientist at Twilio focused on driving growth across the full funnel by revolutionizing cross-sell and upsell initiatives. The role involves designing data products, building recommendation engines, and leveraging ML/GenAI for Product-led-growth, with a strong emphasis on translating business objectives into a data science roadmap and measuring the impact of data products.

What you'd actually do

  1. Translate business objectives into a data science roadmap that prioritizes high-LTV (Lifetime Value) growth
  2. 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
  3. Identify leading indicators of revenue and build data science models that surface high potential opportunities
  4. 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
  5. Leverage machine learning and generative AI capabilities to support Product-led-growth (PLG) initiatives

Skills

Required

  • 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

Nice to have

  • 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

What the JD emphasized

  • proven track record in a GTM or Growth environment
  • Experience initiating and driving projects which leverage Generative AI capabilities
  • The ability to explain a gradient-boosted tree to a Sales Director and a business strategy to a Data Engineer with equal clarity

Other signals

  • driving growth across the full funnel
  • revolutionize our cross-sell and upsell initiatives
  • designing the brain behind our revenue engine
  • turning raw data into high-impact data products
  • identify leading indicators of revenue and build data science models
  • develop sophisticated recommendation engines
  • leverage machine learning and generative AI capabilities