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Statistician (Remote)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a remote Statistician position on a contract basis, paying $80 - $90/hour. Requires a PhD in Statistics or related field, proficiency in R/Python/SAS, and expertise in statistical modeling and data analysis.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
720
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🗓️ - Date
July 16, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Analysis #Python #Data Science #Mathematics #R #Programming #A/B Testing #Distributed Computing #Datasets #SciPy #Pandas #Libraries #Regression #ML (Machine Learning) #SAS #NumPy #Visualization #Time Series #Statistics
Role description
• 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 global leader in the Data Infrastructure and Analytics industry, contributing to high-impact projects that shape data-driven strategies. The contract includes flexible hours and the ability to work from anywhere.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Apply Now!
• 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 global leader in the Data Infrastructure and Analytics industry, contributing to high-impact projects that shape data-driven strategies. The contract includes flexible hours and the ability to work from anywhere.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Apply Now!




