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From Home Predictive Modeling Jobs (NOW HIRING)

Tatari

Statistical Modeler

Los Angeles, CA · On-site

$59 - $76.50/hr

Use predictive modeling, SQL, python, and a machine learning engineering pipeline to deliver this ... Hybrid Option: may work from home 2 days/week within commuting distance from company office in ...

MeridianLink

Predictive Analytics Consultant

$69.80K - $110.30K/yr

Develop end-to-end analytical solutions, from data collection to model deployment, ensuring that ... predictive models and make informed decisions based on data insights. * Provide feedback and ...

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108.80K - $181.30K/yr

This role focuses on developing and enhancing statistical and predictive models to improve ... Support optimization of staffing and workforce planning models with guidance from senior team ...

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How much do from home predictive modeling jobs pay per hour?

As of May 29, 2026, the average hourly pay for from home predictive modeling in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $54.57 and $69.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Work-from-Home Predictive Modeler, and why are they important?

To thrive as a Work-from-Home Predictive Modeler, you need strong statistical analysis skills, proficiency in programming languages like Python or R, and typically a degree in statistics, mathematics, data science, or a related field. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud-based platforms (such as AWS or Azure) are highly valued, along with certifications in data science or analytics. Exceptional problem-solving abilities, attention to detail, and effective remote communication skills help set outstanding professionals apart. These skills ensure the accurate development and communication of predictive models that drive data-driven decision-making in a remote work environment.

What are the typical collaboration methods for remote predictive modeling professionals working from home?

Remote predictive modeling professionals often collaborate through virtual meetings, shared data platforms, and cloud-based modeling tools. Effective communication with data engineers, analysts, and business stakeholders is essential, typically facilitated via video calls, chat apps, and project management systems. Regular check-ins and shared documentation help ensure alignment on project goals, model assumptions, and results. While working independently is common, there is a strong emphasis on teamwork and timely feedback to drive successful model deployment and refinement.

What is a work from home predictive modeling job?

A work from home predictive modeling job involves using statistical techniques, machine learning, and data analysis to build models that forecast future outcomes based on historical data—all performed remotely. Professionals in this field analyze data sets, select appropriate algorithms, and create models to help inform business decisions or predict trends. These roles are common in industries like finance, healthcare, marketing, and insurance. Working remotely allows predictive modelers to collaborate with teams virtually, using specialized software and cloud-based tools.

What is the difference between From Home Predictive Modeling vs From Home Data Analysis?

AspectFrom Home Predictive ModelingFrom Home Data Analysis
CredentialsTypically requires a degree in statistics, data science, or related fields; certifications in predictive analytics are commonRequires similar credentials, often with a focus on data analysis, statistics, or business intelligence
Work EnvironmentRemote, often collaborative with data science teams, using modeling tools and programming languagesRemote, involves analyzing datasets, creating reports, and visualizations, often using Excel, SQL, or BI tools
Industry UsageUsed in finance, marketing, healthcare for forecasting and decision-makingApplied across industries for insights, reporting, and data-driven strategies

From Home Predictive Modeling focuses on building models to forecast future outcomes, while From Home Data Analysis emphasizes examining data to generate insights and reports. Both roles often require similar skills and credentials but differ in their primary objectives and tools used.

More about From Home Predictive Modeling jobs
What cities are hiring for From Home Predictive Modeling jobs? Cities with the most From Home Predictive Modeling job openings:
What are the most commonly searched types of Predictive Modeling jobs? The most popular types of Predictive Modeling jobs are:
What states have the most From Home Predictive Modeling jobs? States with the most job openings for From Home Predictive Modeling jobs include:
What job categories do people searching From Home Predictive Modeling jobs look for? The top searched job categories for From Home Predictive Modeling jobs are:
From Home Predictive Modeling jobs near you
Infographic showing various From Home Predictive Modeling job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $124,065 per year, or $59.6 per hour.
Remote Quantitative AI Evaluator & Model Feedback

Remote Quantitative AI Evaluator & Model Feedback

DataAnnotation

Washington, DC • Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A technology firm specializing in AI is seeking experienced quantitative professionals to evaluate and improve AI systems. This fully remote role allows you to work from anywhere in the US, Canada, UK, Ireland, Australia, or New Zealand, with flexible scheduling and competitive pay up to $60/hour. Ideal candidates will have 2+ years of experience in data science, statistics, or related fields, and will engage in tasks like statistical analysis, predictive modeling, and providing feedback on AI outputs.

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