2 дня назад
Experimentation Data Scientist
106 100 - 120 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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