Remote Senior A/B Test Validation Specialist

Nature Based Solutions Group; United Arab Emirates; Remote; AED 360,000 - 480,000; Full time

Benefits offered by this job

100% remote work

Global collaboration with diverse team

Job summary

Nature Based Solutions Group is seeking a Senior A/B Test Statistical Validation Specialist to oversee the statistical design, validation, and interpretation of controlled experiments in a fully remote setup.

The role requires strong expertise in hypothesis testing, power analysis, and Bayesian/frequentist methods, with proficiency in Python or R, SQL, and data visualization tools. You will collaborate with cross-functional teams worldwide.

Qualifications

• 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.

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.

Skills

Hypothesis testing

Statistical power

Confidence intervals

Effect size estimation

Analytical thinking

Communication

Remote work management

Education

Bachelor's degree in Statistics/Mathematics/Data Science or related

Master's degree preferred

Tools

Python

R

SQL

Experimentation platforms

Data visualization tools

Job description

Nature Based Solutions Group is seeking a Senior A/B Test Statistical Validation Specialist to oversee the statistical design, validation, and interpretation of controlled experiments in a fully remote setup.

The role requires strong expertise in hypothesis testing, power analysis, and Bayesian/frequentist methods, with proficiency in Python or R, SQL, and data visualization tools. You will collaborate with cross-functional teams worldwide.