Staff Data Scientist

🕒 Abril 30

🏄 California, Connecticut, +4 estados a mais – Remoto

🏄 California – Remote 🦌 Connecticut – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🔔 Pennsylvania – Remote ☕ Washington – Remote

💵 $155.520 - $228.700 / ano

⏰ Tempo Integral

🔴 Especialista

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Twilio

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Milhões de desenvolvedores ao redor do mundo já usaram a Twilio para desbloquear a magia das comunicações e melhorar qualquer experiência humana. A Twilio democratizou canais de comunicação como voz, texto, chat, vídeo e e‑mail ao virtualizar a infraestrutura global de comunicações por meio de APIs simples o bastante para qualquer desenvolvedor usar e, ao mesmo tempo, robustas o suficiente para impulsionar as aplicações mais exigentes do mundo. Ao tornar as comunicações parte do kit de ferramentas de todo desenvolvedor de software, a Twilio capacita inovadores em todos os setores — de líderes emergentes às maiores organizações do mundo — a reinventar a forma como as empresas se relacionam com seus clientes. Fundada em 2008, a Twilio conta com mais de 5.000 funcionários em 26 escritórios, em 17 países e crescendo, com sede em San Francisco e outros escritórios em Atlanta, Bangalore, Berlim, Bogotá, Denver, Dublin, Paris, Praga, Hong Kong, Irvine, Londres, Madri, Munique, Malmö, Mountain View, Redwood City, Nova York, São Paulo, Sydney, Melbourne, Cingapura, Tallinn e Tóquio.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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