Remote PhD Statistician — Advanced Modeling & Insights

Hired; United Arab Emirates; Remote; AED 300,000 - 460,000; Full time

Job summary

Hired is seeking a Statistics Expert (PhD) to design and implement advanced statistical models on complex datasets, driving actionable insights for global business decisions. This full-time, remote-friendly role invites collaboration with data scientists and engineers to validate models, conduct experiments, and present results to stakeholders.

The ideal candidate combines deep quantitative training with excellent communication skills and a track record of applying rigorous methods to real-world

Qualifications

• PhD in Statistics, Applied Mathematics, or a related field.
• Proficiency in R, Python (NumPy/SciPy/Pandas) or SAS.
• Strong expertise in regression, time series, Bayesian methods, or machine learning.
• Experience with experimental design and causal inference methods.
• Ability to communicate complex statistical concepts to non-technical audiences.
• Experience with large-scale datasets and distributed computing frameworks is a plus.

Responsibilities

• Develop and validate statistical models to address business challenges using advanced methodologies.
• Analyze large-scale datasets to identify trends, patterns, and anomalies for strategic recommendations.
• Collaborate with data scientists and engineers to integrate statistical solutions into production systems.
• Present findings and insights to stakeholders through clear, data-driven reports and visualizations.
• Ensure statistical rigor in experimental designs, A/B testing, and hypothesis validation.

Skills

Statistical modeling

Experiment design

Causal inference

Communicating results

Large-scale data handling

Education

PhD in Statistics / Applied Mathematics or related field

Tools

R

Python (NumPy/SciPy/Pandas)

SAS

Job description

Hired is seeking a Statistics Expert (PhD) to design and implement advanced statistical models on complex datasets, driving actionable insights for global business decisions. This full-time, remote-friendly role invites collaboration with data scientists and engineers to validate models, conduct experiments, and present results to stakeholders.

The ideal candidate combines deep quantitative training with excellent communication skills and a track record of applying rigorous methods to real-world