Experimental Design Expert

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

Educate stakeholders on experimental best practices, help them formulate testable hypotheses, and determine appropriate sample sizes and test durations

Handle challenges like network effects, interference between test groups, non-normal distributions, and multiple testing corrections

Choose appropriate statistical methods (frequentist, Bayesian, sequential testing) based on the context, and clearly communicate tradeoffs

Collaborate on instrumentation and randomization strategies to ensure experiments are implemented correctly

Define and monitor metrics that protect the user experience and business health during experimentation

Create frameworks, templates, and documentation that scale experimentation across the organization

Translate complex experimental results into clear recommendations that drive action

Write SQL queries, build dashboards in Snowflake and future BI tools, and respond to data requests as needed

Requirements :

randomization, power analysis, multiple testing corrections, variance reduction techniques, and experimental validity (internal, external, construct)

confidence intervals, hypothesis testing, regression analysis, ANOVA, and when to apply parametric vs. non-parametric methods

ability to write complex queries to calculate test metrics, detect data quality issues, and perform pre / post analysis

proficiency with statistical libraries (scipy, statsmodels, or similar) for experiment analysis and simulation

examples where your experimental insights led to meaningful product or business changes

ability to explain statistical concepts like p-values, confidence intervals, and sample size calculations to non-technical stakeholders

Bonus points for :

A Successful Candidate :

You're passionate about rigorous testing and help others understand why shortcuts lead to bad decisions

You bring academic rigor but know how to apply it in fast-moving business contexts

You don't just run tests you dig into surprising results and form hypotheses about user behaviour

You can explain why an experiment is underpowered or biased in a way that resonates with PMs and executives

You identify opportunities for testing, advocate for experiments, and drive them to completion

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.