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Remote Mathematical Statistician Jobs (NOW HIRING)

Fraud Strategist, Quantitative

San Mateo, CA ยท On-site +1

$138K - $178K/yr

Fraud Strategist, Quantitative San Mateo or San Diego, CA (hybrid) US Remote (considered) Role ... Apply advanced mathematical, statistical, and computational methods to solve complex fraud and ...

Bachelor's degree in Statistics, Biostatistics, Mathematics, or a related field; Master's degree ... This is a remote position, and we are open to candidates based in the United States, Bulgaria ...

Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

BA/BS in statistics, mathematics, actuarial science or related area and 5 years of post-bachelor ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

BA/BS in statistics, mathematics, actuarial science or related area and 5 years of post-bachelor ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

BA/BS in statistics, mathematics, actuarial science or related area and 5 years of post-bachelor ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

BA/BS in statistics, mathematics, actuarial science or related area and 5 years of post-bachelor ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

BA/BS in statistics, mathematics, actuarial science or related area and 5 years of post-bachelor ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Showing results 41-60

Remote Mathematical Statistician information

See salary details

$50.5K

$86.9K

$116.5K

How much do remote mathematical statistician jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote mathematical statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.

How do remote mathematical statisticians typically collaborate with team members and stakeholders across different locations?

Remote Mathematical Statisticians frequently use digital collaboration tools such as video conferencing, shared code repositories, and project management platforms to communicate and work with colleagues. They often participate in regular virtual meetings to discuss statistical methodologies, share updates on data analysis, and align on project goals with cross-functional teams such as data scientists, researchers, and subject matter experts. Building clear communication channels and proactively sharing progress are essential, as remote work can sometimes make it challenging to stay aligned and receive timely feedback. Effective collaboration also involves documenting methods and findings clearly to ensure transparency and reproducibility within a distributed team.

What does a remote mathematical statistician do?

A remote mathematical statistician analyzes and interprets data using advanced mathematical and statistical techniques while working from a location outside of a traditional office. They design experiments, develop statistical models, and help organizations make data-driven decisions. Their work often involves programming, data visualization, and collaborating with teams virtually. Remote mathematical statisticians are commonly employed in sectors like government, healthcare, finance, and technology.

What are the key skills and qualifications needed to thrive as a remote mathematical statistician?

To thrive as a Remote Mathematical Statistician, you need advanced knowledge of probability, statistical analysis, and a relevant degree such as mathematics, statistics, or a related field. Proficiency in statistical software like R, SAS, Python, and experience with data management tools are typically required. Strong analytical thinking, attention to detail, and excellent written communication skills help you interpret data and present complex findings clearly. These skills are critical to ensure accurate data analysis, effective remote collaboration, and insightful decision-making for organizations.

What is the difference between Remote Mathematical Statistician vs Remote Data Analyst?

AspectRemote Mathematical StatisticianRemote Data Analyst
Required credentialsMaster's or PhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Statistics, Data Science, or related field
Work environmentResearch-focused, statistical modeling, and analysisData processing, visualization, and reporting
Employer usageResearch institutions, government agencies, healthcare, tech companiesBusiness, marketing, finance, tech companies
Search intentComparing roles involving advanced statistical modelingRoles focused on data interpretation and reporting

The Remote Mathematical Statistician primarily focuses on advanced statistical modeling and research, often requiring higher-level credentials like a master's or PhD. In contrast, a Remote Data Analyst typically handles data processing, visualization, and reporting, with a broader range of educational backgrounds. Both roles are common in tech, healthcare, and research industries, but they serve different functions within data teams.

More about Remote Mathematical Statistician jobs
What cities are hiring for Remote Mathematical Statistician jobs? Cities with the most Remote Mathematical Statistician job openings:
What are the most commonly searched types of Mathematical Statistician jobs? The most popular types of Mathematical Statistician jobs are:
What states have the most Remote Mathematical Statistician jobs? States with the most job openings for Remote Mathematical Statistician jobs include:
Infographic showing various Remote Mathematical Statistician job openings in the United States as of August 2026, with employment types broken down into 3% Internship, 73% Full Time, 21% Part Time, and 3% Temporary. Highlights an 100% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

Sr Data Scientist with AI(FT role- NO OPT/CPT)

Apetan Consulting llc

Parsippany, NJ โ€ข Remote

$80 - $150/hr

Contractor

Re-posted 20 days ago


Job description

Position: Sr Data Scientist with AI((NO OPT/CPT)
Location: NJ – Remote
Type – Full Time
Job Description-:

  • Data Collection & Cleaning
  • Gather structured/unstructured data from databases, APIs, or external sources, then clean and preprocess it for analysis.
  • Exploratory Data Analysis (EDA)
  • Identify patterns, trends, and anomalies using statistical techniques and visualization tools.
  • Model Development
  • Build and train machine learning or AI models (e.g., regression, classification, clustering, deep learning).
  • AI/ML Implementation
  • Apply techniques from Machine Learning and Artificial Intelligence to solve business problems like prediction, recommendation, or automation.
  • Feature Engineering
  • Transform raw data into meaningful features that improve model performance.
  • Model Evaluation & Optimization
  • Test models using metrics (accuracy, precision, recall, etc.) and improve them.
  • Deployment & MonitoringWork with engineers to deploy models into production and monitor performance over time.
  • Communication
  • Translate complex results into actionable insights for stakeholders using dashboards, reports, or presentations.

Key Skills Required

Technical Skills

Programming: Python, R, SQL

Libraries/Frameworks: TensorFlow, PyTorch, Scikit-learn

Data Visualization: Matplotlib, Seaborn, Power BI, Tableau

Big Data Tools: Spark, Hadoop

Knowledge of Statistics and Linear Algebra

AI-Specific Skills

Deep learning, NLP, computer vision

Understanding of neural networks and optimization techniques

Familiarity with model deployment (MLOps basics)

Education & Background

Bachelor’s or Master’s in fields like:

Computer Science

Data Science

Mathematics / Statistics

Engineering

Certifications or hands-on projects in AI/ML are highly valued.