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Staff Data Scientist

🕒 April 30

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Twilio

5001 - 10000 employees

Millions of developers around the world have used Twilio to unlock the magic of communications to improve any human experience.Twilio has democratized communications channels like voice, text, chat, video, and email by virtualizing the world’s communications infrastructure through APIs that are simple enough for any developer to use, yet robust enough to power the world’s most demanding applications.By making communications a part of every software developer’s toolkit, Twilio is enabling innovators across every industry — from emerging leaders to the world’s largest organizations — to reinvent how companies engage with their customers.Founded in 2008, Twilio has over 5,000 employees in 26 offices in 17 countries and counting, with headquarters in San Francisco and other offices in Atlanta, Bangalore, Berlin, Bogotá, Denver, Dublin, Paris, Prague, Hong Kong, Irvine, London, Madrid, Munich, Malmö, Mountain View, Redwood City, New York City, São Paulo, Sydney, Melbourne, Singapore, Tallinn, and Tokyo.

📋 Description

• 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

• 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

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

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