Senior A/B Test Statistical Validation Specialist

Nature Based Solutions; Abu Dhabi; Remote; AED 180.000 - 300.000; Vollzeit

Zusammenfassung

Nature Based Solutions Group is seeking a Senior A/B Test Statistical Validation Specialist for a 100% remote role based in the United Arab Emirates. You will oversee statistical design, validation, and interpretation of controlled experiments, ensuring methodological soundness and actionable business insights across teams.

You will review experimental designs, assess power and sample size, validate randomization and analysis methods, and communicate findings to both technical and non-technical

Qualifikationen

• Degree in statistics, mathematics, data science, or related field.
• Significant experience in statistical analysis and experimentation.
• Proficiency with Python or R and SQL for data analysis.
• Ability to communicate complex findings to non-technical stakeholders.

Aufgaben

• Design and validate statistical frameworks for A/B tests and experiments.
• Review hypotheses, success metrics, outcomes, and guardrail metrics.
• Assess sample size, power, effect size, and test duration.
• Validate randomization, treatment allocation, and control integrity.
• Evaluate assumptions, distributions, and variances.
• Apply appropriate tests, confidence intervals, and significance levels.
• Identify bias sources and data quality issues.
• Review data for missing values, outliers, and inconsistencies.
• Compare frequentist and Bayesian approaches as needed.
• Validate multiple testing, sequential analyses, and early stopping.
• Investigate inconclusive results and propose corrective actions.
• Review analysis code and reproducibility standards.
• Collaborate with data scientists, product managers, engineers, and business teams.
• Communicate limitations and recommendations clearly to stakeholders.
• Develop standardized validation procedures and quality controls.

Kenntnisse

Statistical analysis

Experiment design

Data interpretation

Communication skills

Ausbildung

Bachelor's or master's degree in Statistics or related quantitative field

Tools

Python

R

SQL

Jobbeschreibung

Job Title: Senior A/B Test Statistical Validation Specialist

Location: United Arab Emirates (Remote)

Employment Type: Full-Time

Work Arrangement: 100% Remote — Work From Home

Level: Senior

About the Role

We are seeking an experienced Senior A/B Test Statistical Validation Specialist to oversee the statistical design, validation, and interpretation of controlled experiments. The successful candidate will ensure that A/B tests are methodologically sound, statistically reliable, and aligned with business objectives. This role involves evaluating experimental designs, validating analytical methods, identifying statistical risks, and translating complex findings into clear recommendations for business and product stakeholders.

Key Responsibilities

• Design and validate statistical frameworks for A/B tests and controlled experiments.
• Review experiment hypotheses, success metrics, primary outcomes, and guardrail metrics.
• Assess sample-size requirements, statistical power, minimum detectable effects, and test duration.
• Validate randomization procedures, treatment allocation, and control-group integrity.
• Evaluate statistical assumptions, including independence, distributional characteristics, and variance.
• Apply appropriate statistical tests, confidence intervals, and significance thresholds.
• Identify potential sources of bias, including selection bias, sample-ratio mismatch, and data contamination.
• Review experimental data for missing values, outliers, tracking errors, and inconsistencies.
• Assess the suitability of frequentist and Bayesian testing approaches where appropriate.
• Validate multiple-comparison adjustments, sequential testing methods, and early-stopping procedures.
• Investigate anomalous or inconclusive experiment results and recommend corrective actions.
• Review statistical analysis code, experiment documentation, and reproducibility standards.
• Collaborate with data scientists, product managers, engineers, and business teams.
• Communicate statistical findings, limitations, and recommendations to technical and non-technical stakeholders.
• Develop standardized procedures and quality controls for experimental validation.

Qualifications and Experience

• Bachelor's or master's degree in Statistics, Mathematics, Data Science, Economics, or a related quantitative discipline.
• Significant professional experience in statistical analysis, experimentation, or A/B testing.
• Strong understanding of hypothesis testing, statistical power, confidence intervals, and effect‑size estimation.
• Experience designing and validating controlled experiments in digital products, marketing, or business environments.
• Knowledge of randomization, sampling methods, experimental bias, and causal inference.
• Proficiency in statistical programming using Python or R.
• Experience working with SQL and large‑scale analytical datasets.
• Familiarity with experimentation platforms, analytics tools, and data visualization solutions.
• Ability to evaluate statistical assumptions and identify methodological weaknesses.
• Understanding of multiple testing, sequential analysis, and Bayesian experimentation is advantageous.
• Strong analytical reasoning, attention to detail, and problem‑solving skills.
• Excellent written and verbal communication skills.
• Ability to manage multiple experiments and validation projects independently in a remote environment.

What We Offer

• 100% remote working arrangement within the stated employment framework.
• Competitive compensation based on qualifications and experience.
• Opportunities to work on complex experimentation and statistical validation projects.
• Professional development and continuous learning opportunities.
• Collaborative environment with multidisciplinary and international teams.