Staff Data Scientist

Twilio

. Translate business objectives into a data science roadmap that prioritizes high-LTV (Lifetime Value) growth .

Posted 4/30/2026full-timeRemote • California, Connecticut, New Jersey, New York, Pennsylvania, Washington • 🇺🇸 United StatesLead💰 $155,520 - $228,700 per yearWebsite

Tech Stack

Tools & technologies

AirflowPythonPyTorchScikit-LearnSparkSQLTableauTensorflow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Working at Twilio offers many benefits, including competitive pay
Generous time off
Ample parental and wellness leave
Healthcare
A retirement savings program

ATS Keywords

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Hard Skills & Tools

Data ScienceMachine LearningApplied StatisticsA/B TestingPythonRSQLScikit-learnXGBoostPyTorch

Soft Skills

CommunicationTechnical AdvisoryProject ManagementCollaborationProblem SolvingDocumentationAnalytical ThinkingStakeholder EngagementClarity in ExplanationStrategic Thinking