Skill
Statistical Hypothesis Testing
Data Science, Analytics and AI/ML
Statistical hypothesis testing is a formal method for deciding whether sample data provide sufficient evidence to reject a null hypothesis in favor of an alternative, using tools like p-values, significance levels, and test statistics (e.g., t-tests, chi-square tests). It is used extensively by researchers in medicine, psychology, and the social sciences to determine whether observed effects are likely real or due to chance. Proper application requires understanding concepts like Type I/II errors and statistical power.
Open roles requiring Statistical Hypothesis Testing (2)
Sr. Engineer, Machine Learning/Artificial Intelligence
Starz
Denver, CO · $150,000 – $180,000
STARZ is seeking a senior machine learning engineer to extract actionable insights from their streaming platform's operational data using advanced analytics, anomaly detection, and generative AI techniques. This role suits someone with deep experience applying ML models to large-scale telemetry and is positioned to shape how the company's engineering teams respond to data-driven signals.
Listed on Starz’s careers site · Apply there ↗
Data Scientist - Quora (Remote)
Quora
Remote - Multiple Locations, United States, Ireland, Canada, & 13 other countries · $122,000 – $173,117
Quora seeks a Data Scientist to own analytical problems across product and business domains, designing experiments and uncovering insights that drive product decisions. This role suits someone who combines statistical rigor with product intuition and enjoys working with a team that treats data as central to strategy.
Listed on Quora’s careers site · Apply there ↗
Roles that use Statistical Hypothesis Testing
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