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Experimental Design Expert Job at Howrecruit in San Mateo
Experimental Design Expert Job at Howrecruit in San MateoMediabistro • San Mateo, CA, United States
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Experimental Design Expert Job at Howrecruit in San Mateo

Experimental Design Expert Job at Howrecruit in San Mateo

Mediabistro • San Mateo, CA, United States
21 days ago
Job type
  • Full-time
Job description

Senior Data Analyst / Experimental Designer Expert

$170k–$210k USD + equity + annual bonus + incredible benefits

Remote (US / Canada)

Profitable Startup

Howrecruit has been retained by a profitable, high-growth home services platform to hire a Senior Data Analyst who lives and breathes experimental design. This isn't a role where experimentation is just one item on a long list. It's the core of what you'll do. You'll own the end-to-end experimentation program, designing rigorous A / B tests that directly shape product strategy and business decisions.

If you're someone who gets excited about power calculations, debates the merits of sequential testing, and has strong opinions about when to use stratification vs. blocking, we want to talk to you.

What you'll do :

  • Own the experimentation roadmap : Design, implement, and analyze sophisticated A / B tests and multivariate experiments that answer critical business questions
  • Be the experimentation subject matter expert : Educate stakeholders on experimental best practices, help them formulate testable hypotheses, and determine appropriate sample sizes and test durations
  • Navigate complexity : Handle challenges like network effects, interference between test groups, non-normal distributions, and multiple testing corrections
  • Drive statistical rigor : Choose appropriate statistical methods (frequentist, Bayesian, sequential testing) based on the context, and clearly communicate tradeoffs
  • Partner with engineering : Collaborate on instrumentation and randomization strategies to ensure experiments are implemented correctly
  • Establish guardrail metrics : Define and monitor metrics that protect the user experience and business health during experimentation
  • Build experimentation infrastructure : Create frameworks, templates, and documentation that scale experimentation across the organization
  • Democratize insights : Translate complex experimental results into clear recommendations that drive action
  • Support ad-hoc analysis : Write SQL queries, build dashboards in Snowflake and future BI tools, and respond to data requests as needed

Requirements :

  • Master's or PhD in Statistics, Mathematics, Economics, Biostatistics, Operations Research, or a related quantitative field (or equivalent advanced training in experimental design and statistical inference)
  • 5+ years of hands-on experience designing and analyzing experiments in a tech, product, or high-growth environment (graduate research involving experimental design counts toward this)
  • Expert-level understanding of experimental design principles : randomization, power analysis, multiple testing corrections, variance reduction techniques, and experimental validity (internal, external, construct)
  • Deep statistical knowledge : confidence intervals, hypothesis testing, regression analysis, ANOVA, and when to apply parametric vs. non-parametric methods
  • Advanced SQL skills : ability to write complex queries to calculate test metrics, detect data quality issues, and perform pre / post analysis
  • Strong Python skills : proficiency with statistical libraries (scipy, statsmodels, or similar) for experiment analysis and simulation
  • Experience with Snowflake or similar cloud data warehouses
  • Track record of impact : examples where your experimental insights led to meaningful product or business changes
  • Exceptional communication skills : ability to explain statistical concepts like p-values, confidence intervals, and sample size calculations to non-technical stakeholders
  • Bonus points for :

  • PhD with dissertation focused on experimental design, causal inference, or applied statistics
  • Familiarity with advanced methods like difference-in-differences, synthetic controls, or instrumental variables
  • Publications, conference talks, or blog posts about experimentation
  • Experience building internal experimentation tools or frameworks
  • Formal training in design of experiments (DOE) or clinical trial methodology
  • A Successful Candidate :

  • Is an experimentation evangelist : You're passionate about rigorous testing and help others understand why shortcuts lead to bad decisions
  • Balances theory with practice : You bring academic rigor but know how to apply it in fast-moving business contexts
  • Is naturally curious : You don't just run tests you dig into surprising results and form hypotheses about user behaviour
  • Is a clear communicator : You can explain why an experiment is underpowered or biased in a way that resonates with PMs and executives
  • Is proactive and independent : You identify opportunities for testing, advocate for experiments, and drive them to completion
  • Is collaborative : You work cross-functionally with product, engineering, marketing, and operations to build an experimentation culture
  • If you're an experimentation expert with strong quantitative training who wants to build a world-class testing program at a profitable, fast-growing startup, we'd love to hear from you. This is a chance to have outsized impact and work behind the scenes of one of the most successful bootstrapped companies you've never heard of.

    In Summary : Senior Data Analyst / Experimental Designer Expert $170k–$210k USD + equity + annual bonus + incredible benefits Remote (US / Canada) Profitable Startup . You'll own the end-to-end experimentation program, designing rigorous A / B tests that shape product strategy .

    En Español : El analista de datos senior / diseñador experimental experto $170k$210k USD + capital + bono anual + beneficios increíbles Remote (Estados Unidos / Canadá) StartupRentableHowrecruit ha sido retenido por una plataforma de servicios domésticos rentable y de alto crecimiento para contratar a un analista principal de datos que vive y respira el diseño experimental. Este no es un papel donde la experimentación es solo un elemento en una larga lista. Es el núcleo de lo que harás. Poseerás el programa de experimentaciones de extremo a extremo, diseñando rigurosas pruebas A / B que moldean directamente la estrategia del producto y las decisiones comerciales. bloquear, queremos hablar con usted.Lo que va a hacer : Poseer la hoja de ruta de experimentación : Diseñar, implementar y analizar pruebas A / B sofisticadas e experimentos multivariados que responden preguntas críticas del negocioSé el experto en materia de experimento : Educar a las partes interesadas sobre las mejores prácticas experimentales, ayudarlas a formular hipótesis verificables y determinar los tamaños de muestras adecuados y duración de las pruebasComplicidad de navegación : Manejar desafíos como efectos de red, interferencias entre grupos de prueba, distribuciones no normales y correcciones de análisisDirección estadística rigor : Elegir métodos estadísticos apropiados (expertos graduados, Bayesianos, ensayos secuenciales) basados en el contexto, y intercambiar conocimientos con pruebas estadísticasPartneres con ingeniería : Colaborar en estrategias de instrumentación aleatoria para garantizar que se apliquen estatisticamente los experimentosDesarrollo biológicoConstruir cuálestros internacionalesDefinición de productos y procedimientos operativos, diseño y desarrollo de datos externosCuándo se necesita una amplia comprensión de los resultados de las investigaciones, diseña de sistemas matemáticos o técnicas de investigación, elaboración de análisis de datos y evaluación de información, etc. : Métodos no paramétricosHabilidades avanzadas de SQL : capacidad para escribir consultas complejas para calcular métricas de prueba, detectar problemas de calidad de datos y realizar análisis pre / post programa habilidades fuertes en Python : competencia con bibliotecas estadísticas (scipy, modelos de estadística o similares) para el análisis experimental y simulaciónExperiencia con Snowflake o almacenes de datos en la nube similaresRécord de impacto : ejemplos donde sus conocimientos experimentales condujeron a cambios significativos en productos o negociosHabilidades excepcionales de comunicación : capacidad de explicar conceptos estadísticos como p-valores, intervalos de confianza y cálculos del tamaño de muestras a los interesados no técnicosPuntos de ventaja para : PhD con disertación centrada en las operaciones de diseño experimental, pruebas de causal e inferencias, o práctica aplicadaEstadísticas Exercidad con métodos experimentaciones rápidos en diferencias sintéticas, ensayos de control artificial, trabajos independientes de instrumentos, evaluaciones de producto, discursos internos o trabajo con otros. Esta es una oportunidad para tener un impacto enorme y trabajar detrás de escena de una de las compañías más exitosas que nunca has oído hablar.

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