- Role:
Statistician (Remote)
- Location:
Remote (Work from Anywhere)
- Job Type:
Contract
- Payout:
$80 - $90/hour

Role Overview:

We are hiring for one of our clients, seeking a Statistics Expert (PhD) to work on a contract basis. The role involves designing and implementing statistical models to analyze complex datasets and derive actionable insights. You will collaborate with cross-functional teams to support data-driven decision-making and improve business strategies.

Key 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.

Required Skills & Qualifications:

• PhD in Statistics,



Applied Mathematics, or a related quantitative field is required.

• Proficiency in statistical programming languages such as R, Python (with libraries like NumPy, SciPy, or Pandas), or SAS.

• Strong expertise in statistical modeling techniques, including regression, time series, Bayesian methods, or machine learning.

• Experience with experimental design and causal inference methods for data analysis.

• Ability to communicate complex statistical concepts to non-technical audiences.

• Experience working with large-scale datasets and distributed computing frameworks is a plus.

More About the Opportunity:

This role offers a unique opportunity to work with a integral leader in the Data Infrastructure and Analytics industry, contributing to high-impact projects that shape data-driven strategies. The contract includes adaptable hours and the ability to work from anywhere.

Equal Opportunity Employer:

We hire ba

📌 Statistician (Remote) (España)
🏢 Hire Feed
📍 España