Staff Data Scientist

🕒 Abril 9

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $152.000 - $282.000 / ano

⏰ Tempo Integral

🔴 Especialista

📊 Cientista de Dados

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NerdWallet

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2009

💰 Secondary Market em 2021-05

A missão da NerdWallet é ajudar a fornecer clareza para consumidores e pequenas e médias empresas, para que possam tomar decisões financeiras com confiança. Trabalhamos arduamente para cultivar uma cultura premiada na qual nossos Nerds possam realizar essa missão, e nos orgulhamos dos programas que criamos para impactar positivamente as vidas dos nossos consumidores, dos nossos Nerds e do mundo em geral. A NerdWallet investe nas suas pessoas, promovendo um ambiente de trabalho equitativo e inclusivo no qual os Nerds possam prosperar profissional e pessoalmente. Isso inclui uma filosofia de priorização ao trabalho remoto, que permite recrutamento e contratação diversos, programas de desenvolvimento para facilitar o crescimento na carreira e um processo de revisão de equidade salarial realizado duas vezes por ano. A NerdWallet também possui cinco grupos de recursos para funcionários (ERGs) para oferecer comunidades de apoio e inclusão entre os colegas de trabalho: NerdOut, NerdParents, NerdWomen, NerdWallet Women in Data & Engineering e Nerds of Color. A NerdWallet investe em suas comunidades mais amplas por meio do nosso programa de Responsabilidade Social Corporativa, criado para apoiar aqueles tradicionalmente excluídos do sistema financeiro. Milhões de americanos não possuem serviços bancários ou têm acesso limitado, sem acesso a crédito e outros produtos financeiros que alguns de nós tomamos como garantidos. Através da nossa plataforma de CSR, estamos empenhados em fazer uma diferença tangível para essas comunidades subatendidas. A cultura premiada da NerdWallet foi nomeada como um dos Melhores Lugares para Trabalhar pela Inc. em 2022 e também foi reconhecida pela Fast Company, Fortune, People e outros. Venha fazer parte do nosso grupo em www.nerdwallet.com.

Descrição

• Lead the design and implementation of causal inference frameworks (e.g., uplift modeling, DML, IVs, DiD, synthetic control) to measure true incremental impact across personalization, marketing, and lifecycle interventions • Establish and standardize methodologies for incrementality, experimentation, and measurement across channels and product surfaces • Build and scale LTV models (user-level and cohort-based), including churn-adjusted and horizon-specific approaches, for real-time decisioning • Develop and deploy personalization models that influence ranking, offer selection, content sequencing, and monetization strategies at the moment of user intent • Ship production-grade machine learning models that directly drive revenue outcomes, including marketplace optimization, partner routing, and budget allocation • Translate predictive outputs (e.g., conversion propensity, incremental CPA, expected LTV) into decision-ready signals for real-time systems • Partner with Data Engineering and Platform teams to define data instrumentation, feature stores (batch and streaming), and model monitoring frameworks (drift, bias, stability) • Influence architectural decisions across modern data and ML platforms (e.g., Snowflake, Databricks, Spark, real-time inference systems) • Provide technical leadership across teams by setting best practices for experimentation, modeling, code quality, and reproducibility • Mentor and develop senior and mid-level data scientists, raising the overall technical bar across the organization • Communicate complex analytical insights and trade-offs to executive stakeholders, translating findings into actionable business strategies • Shape long-term strategy for personalization, experimentation, and AI-driven growth at NerdWallet

🎯 Requisitos

• 8+ years of experience in applied machine learning, causal inference, experimentation, or related quantitative fields • Deep expertise in causal inference methodologies (e.g., uplift modeling, doubly robust learners, instrumental variables, difference-in-differences, synthetic control, Bayesian time series) • Proven experience building and operationalizing LTV models for real-time or near-real-time applications • Strong software engineering and production ML experience, including Python (pandas, numpy, scikit-learn, LightGBM/XGBoost) and PySpark, Advanced SQL • Experience with distributed systems and modern data platforms (e.g., Snowflake, Databricks, Spark, AWS/GCP/Azure), Version control and ML lifecycle tools (e.g., Git, MLflow) • Hands-on experience with experimentation frameworks, A/B testing, and statistical diagnostics (e.g., power analysis, bias detection) • Demonstrated success deploying models that materially impact revenue, efficiency, or user experience • Exceptional communication skills with the ability to influence Product, Marketing, Finance, and executive stakeholders • Strong strategic thinking and ability to operate in ambiguous, high-impact problem spaces. • Preferred Qualifications: • Experience with marketplace optimization, ranking systems, or auction-based environments • Familiarity with contextual bandits, reinforcement learning, or sequential decision-making systems • Knowledge of streaming data architectures (e.g., Kafka, Kinesis), orchestration tools (e.g., Airflow, DBT), and feature stores (e.g., Tecton, Feast) • Domain experience in fintech, marketplaces, growth, or performance marketing

🏖️ Benefícios

• Industry-leading medical, dental, and vision health care plans for employees and their dependents • Rejuvenation Policy – Flexible Vacation Time Off + 11 holidays + holiday company shutdown • New Parent Leave for employees with a newborn child or a child placed with them for adoption or foster care • Mental health support • Paid sabbatical after 5 years for Nerds to recharge, gain knowledge, and pursue their interests • Health and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution • Monthly Wellness Stipend, Cell Phone Stipend, and Wifi Stipend (Only remote Nerds are eligible for the Wifi Stipend) • Work from home equipment stipend and co-working space subsidy (Only remote Nerds are eligible for these stipends)