Staff Data Scientist

Details

• 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
• 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
• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $155,520.00 (Developing Minimum for Tier 3) - $194,400.00 (Mid for Tier 3).
• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $164,640.00 (Developing Minimum for Tier 2) - $205,800 (Mid for Tier 2).
• Based in the San Francisco Bay area, California: $182,960.00 (Developing Minimum for Tier 1) - $228,700.00 (Mid for Tier 1).
• This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.