Data Scientist A/B Testing, Website Experimentation & Product Analytics - 68645

About

We have an immediate need for multiple Data Scientist professionals specializing in A/B Testing and Website Experimentation for hybrid opportunities in Sunnyvale, CA and Austin, TX. We are actively hiring for 5 positions including 1 Senior role based in Sunnyvale, CA and 4 Junior roles based in Sunnyvale, CA or Austin, TX with a 3 days hybrid work schedule. This opportunity focuses on driving website optimization strategies, digital experimentation initiatives, and data-driven product decision-making in a highly collaborative and fast-paced environment.

The ideal candidate will serve as the statistical engine behind website experimentation and optimization strategies by designing, executing, and analyzing controlled A/B tests to improve user experience, engagement, conversion rates, and business growth. The role involves partnering with product, engineering, and marketing teams to ensure all digital changes are backed by rigorous experimentation and data analysis.

Responsibilities

• Design, execute, and analyze controlled A/B tests to improve user experience, engagement, conversion rates, and business growth.
• Partner with product, engineering, and marketing teams to ensure digital changes are backed by rigorous experimentation and data analysis.
• Formulate hypotheses, define experimentation metrics, determine sample sizes, oversee randomization and segmentation strategies, and ensure data integrity throughout the experimentation lifecycle.
• Apply advanced statistical methods including hypothesis testing, confidence intervals, and significance analysis.
• Conduct post-test deep dives to uncover segment-level insights and optimization opportunities.
• Build dashboards and translate analytical findings into actionable business recommendations.
• Maintain experimentation roadmaps and reporting frameworks for stakeholders.

Requirements

• Strong expertise in A/B testing methodologies, hypothesis testing, and statistical modeling.
• Proficiency in SQL, Python or R, and experimentation frameworks.
• Hands-on experience with experimentation platforms such as Optimizely, VWO, or LaunchDarkly.
• Experience with web analytics tools including Google Analytics 4.
• Strong understanding of probability, experimental design, Bayesian and Frequentist approaches.
• Experience with data visualization platforms such as Tableau, Power BI, or Looker.
• Excellent analytical thinking and communication skills to explain complex statistical findings to non-technical stakeholders.

Senior-level candidates should possess strong expertise in experimentation strategy, stakeholder collaboration, and advanced analytical problem-solving capabilities.

Candidates who can directly work on our payroll are encouraged to apply.