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2 дня назад

Experimentation Data Scientist

106 100 - 120 600$
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Experimentation Data Scientist (A/B Testing and Causal Inference): Designing and evaluating controlled experiments to measure treatment effects and guide product development, user experience, and enterprise growth with an accent on statistical modeling, regression analysis, and multi-source data transformation. Focus on building automated experimentation workflows, quantifying causal impacts, and translating complex findings into product recommendations and executive-level visualizations.

Location: Seattle, Washington 98198, United States

Salary: $106,100–$120,600 per year

Company

hirify.global provides staffing and employment services for technical professionals.

What you will do

  • Define hypotheses, key performance metrics, and controlled A/B or multivariate experiments with product, engineering, design, and platform teams.
  • Optimize the experimentation lifecycle and support the execution of tests at scale.
  • Collect, clean, transform, and analyze complex multi-source datasets to evaluate experiment results and treatment effects.
  • Apply regression models, including linear and logistic regression, to quantify uncertainty and estimate causal impacts.
  • Create dashboards and visualizations for technical and executive stakeholders.
  • Build automated tools and workflows that accelerate insight delivery and improve experimentation methodologies.

Requirements

  • Bachelor’s degree in Statistics, Computer Science, Mathematics, or a related quantitative field; a graduate degree is preferred.
  • At least 3 years of professional data science experience focused on digital experimentation and product analytics.
  • High proficiency in SQL and statistical programming with Python and/or R.
  • Hands-on experience designing and supporting A/B tests at scale.
  • Strong knowledge of regression analysis and methods for handling non-normal data distributions.
  • Strong communication and presentation skills, comfort with ambiguity, and ability to work independently.

Nice to have

  • Familiarity with PySpark.
  • Experience with enterprise experimentation platforms such as Optimizely, Adobe Target, or custom internal frameworks.
  • Graduate degree in a quantitative discipline.

Culture & Benefits

  • Cross-functional collaboration with product managers, designers, engineers, platform teams, and business leaders.
  • Temporary assignments lasting 13 weeks or longer may include medical, dental, vision, and 401(k) benefits.
  • Statutory sick pay is provided where required.
  • Reasonable accommodations are available during the employment process.
  • E-Verify participation applies in certain locations.

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