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From Home Predictive Modeling Jobs (NOW HIRING)

MeridianLink

Predictive Analytics Consultant

$69K - $110K/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 ...

Flywire

$114K - $150K/yr

Background in predictive modeling of complex metrics and financials, balancing the science and art of forecasting, and driving actionable results through foresight and insights from forecasting data

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

As of Jun 20, 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 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.

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.
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From Home Predictive Modeling jobs near you
Predictive Analytics Consultant

Predictive Analytics Consultant

Dunn Solutions Group

Chicago, IL

Full-time

Posted 23 days ago

Job description

Company Description

Dunn Solutions Group is a full-service information technology consulting firm. We bring exceptional strategic experience, design skills and technology expertise to every project, plus complementary capabilities in client education.
Focused on the business intelligence, application development and web/portal spaces, Dunn Solutions Group delivers services worldwide through offices in Chicago, Minneapolis, Raleigh, St. Louis, and Bangalore, India.
We work closely with our software vendor partners including SAP, Liferay, Microsoft, Informatica and others to deliver solutions to our clients.
Our IT professionals and business experts bridge the gap between business needs and technical solutions. Over the years, we have cultivated our experience and knowledge in a large number of industries and technologies in order to provide our customers with the most valuable solutions possible.
Specialties
Business Intelligence, Custom Application Development, Mobile Applications, Data Warehousing, Portals, E-Commerce
Website
http://www.dunnsolutions.com

Job Description

Dunn Solutions is growing our predictive analytics practice. Come join our experienced business intelligence and analytics team as we leverage the power of data and predictive modeling to change the way our clients run their businesses.  This multi-dimensional role will report directly to our Predictive Analytics Practice Leader and will work with both our internal team and clients in a variety of verticals including retail, healthcare, and finance.
This is a full time position with benefits located right outside of Chicago in our Skokie, IL headquarters.
About Us - Dunn Solutions Group is an information technology consulting firm with exceptional strategic experience, design skills and technologic expertise. Focused on the business intelligence, application development and web/portal spaces, we deliver services through our offices in Chicago, Minneapolis, Raleigh, and Bangalore, India.
We are growing and we are seeking individuals who want careers, not just a job. If you want to make something happen in the technology world and enjoy working on challenging projects, seriously consider joining the Dunn Solutions Team.
Responsibilities
Strong generic understanding of functionality and/or willingness and ability to acquire deep SAP/KXEN knowledge
    Ability to demonstration the value of the solution (not just demonstrate the functionality), and the ability to build a strong working relationship with client and Dunn team.
    Builds and maintains models, including extracting and combining data from multiple sources using languages such as SQL, R, KXEN, SAP Predictive Analytics and SAS.
    Possess teamwork, high integrity, self-starter, can-do attitude, problem solver
    Development of new or revised statistical systems, and problem solving or investigation related to modeling.  Such as, the development of advanced recommendation engine for use and sale to external ecommerce websites.
    Facilitate and manage major internal initiatives and external client needs that use advanced mathematical and structured algorithms
    Develop prototypes in client IT environment
Desired Skills and Experience
Advanced Analytics; needs experience actually building and deploying predictive models. Additionally, the candidate needs to have a fundamental statistics knowledge to be able to answer questions about underlying algorithms and processes. Preferred skills:  Statistical emphasis on data mining techniques, Bayesian Networks Inference, CHAID, CART, Association Rule, Linear and non-linear regression, hierarchical mixed models/ multi-level modeling
    1+ years of work experience in predictive projects
    Consulting experience would be preferred
    Experience with and comfort in discussing the role of analytics in customer lifecycle analytics
    Intermediate to advanced programming skills enabling the individual to extract and manipulate data (R, Python, SAS, SQL, KXEN, and SAP Predictive Analytics).
    Knowledge of data integration processes
    Knowledge of data mining
    Some experience performing data mining or statistical analysis in Retail, Insurance or Financial Services preferred
    Fluent English is compulsory, additional languages are a plus.
    Ability to travel 30%
EDUCATION :
Minimum of a Bachelor's Degree and/or PhD in Statistics/Applied Statistics, Applied Mathematics, or Economics

Qualifications

1+ years of work experience in predictive projects
    Consulting experience would be preferred
    Experience with and comfort in discussing the role of analytics in customer lifecycle analytics
    Intermediate to advanced programming skills enabling the individual to extract and manipulate data (R, Python, SAS, SQL, KXEN, and SAP Predictive Analytics).
    Knowledge of data integration processes
    Knowledge of data mining
    Some experience performing data mining or statistical analysis in Retail, Insurance or Financial Services preferred
    Fluent English is compulsory, additional languages are a plus.
    Ability to travel 30%

EDUCATION :
Minimum of a Bachelor's Degree and/or PhD in Statistics/Applied Statistics, Applied Mathematics, or Economics


Additional Information

All your information will be kept confidential according to EEO guidelines.

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