8,617 Scientific Analysis jobs in the United States

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.

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.

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.

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.

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.

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.

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.

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.

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.