Talent Groups
Data Scientist A/B testing
Austin, Texas, USA · full-time
Sponsorship not specified$120k-$125kDetected 63 days ago
PythonSQLData ScienceData VisualizationStatisticsA/B TestingGoogle AnalyticsExperimental DesignLeadershipCritical Thinking
About the role
- Job Description: A/B Test Data Scientist (Website Experimentation) Role Overview As an A/B Test Data Scientist, you will be the statistical engine behind our website’s optimization strategy.
- You will work at the intersection of product, engineering, and marketing to ensure every website change is backed by rigorous data.
- Determine appropriate sample sizes, statistical power, and experiment duration for reliable test outcomes.
Responsibilities
- Develop clear experimentation hypotheses and define primary and secondary success metrics.
- Manage experiment execution, including user segmentation and randomization processes.
- Collaborate with engineering teams to ensure accurate event tracking and data integrity.
- Maintain and manage an experimentation roadmap while documenting and archiving key learnings and outcomes.
- You will design, execute, and analyze controlled experiments to improve user experience, conversion rates, and business growth.
Requirements
- Knowledge of Bayesian vs.
- Proficiency in SQL for data extraction and Python or R for advanced statistical analysis.
- Required Skills & Qualifications Statistical Expertise: Mastery of hypothesis testing, experimental design, and probability.
- Programming: Proficiency in SQL for data extraction and Python or R for advanced statistical analysis.
Nice to have
- Bachelor’s degree in a quantitative field (Statistics, Math, CS, Economics)
- master’s or PhD preferred.
- Frequentist approaches is a plus.
Skills
- Experience with experimentation platforms (e.g., Optimizely, VWO, or LaunchDarkly) and web analytics (e.g., Google Analytics 4).
Compensation
- $120k-$125k
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