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Remote Predictive Modeling Jobs in Chicago, IL (NOW HIRING)

Strong background in constructing statistical models, creating predictive/prognostic algorithms ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Senior Salesforce Developer

Naperville, IL · On-site +1

$125K - $153K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... predictive, generative, and automation feature. The Senior Salesforce Developer will work closely ... hybrid model (T-TH in office and M & F remote) is required. This role can also be remote with ...

(Remote) DevOps Team Lead

Des Plaines, IL · On-site +1

$138K - $178K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Fidelity Life pioneered the use of predictive analytics to streamline the new business process and ... Implement and continuously improve the team's production ownership model in alignment with ...

(Remote) DevOps Team Lead

Des Plaines, IL · On-site +1

$51.50 - $70.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Fidelity Life pioneered the use of predictive analytics to streamline the new business process and ... Implement and continuously improve the team's production ownership model in alignment with ...

(Remote) Sr. Special Investigator

Des Plaines, IL · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Fidelity Life pioneered the use of predictive analytics to streamline the new business process and ... model. Using a proprietary and patented sales technology platform, eFinancial's licensed agents ...

Showing results 41-60

Remote Predictive Modeling information

See Chicago, IL salary details

$24

$61

$78

How much do remote predictive modeling jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote predictive modeling in Chicago, IL is $61.44, according to ZipRecruiter salary data. Most workers in this role earn between $56.20 and $71.30 per hour, depending on experience, location, and employer.

What is the difference between Remote Predictive Modeling vs Remote Data Analysis?

AspectRemote Predictive ModelingRemote Data Analysis
Required SkillsStatistical modeling, machine learning, programming (Python, R)Data cleaning, descriptive statistics, visualization
Work EnvironmentCollaborative teams, project-based tasks, often in tech or financeData reporting, dashboard creation, business insights
Common CertificationsCertified Data Scientist, Machine Learning certificationsData Analysis certifications, Tableau or Power BI certifications

Remote Predictive Modeling focuses on building models to forecast future outcomes using advanced algorithms, while Remote Data Analysis involves examining existing data to generate insights and reports. Both roles require strong analytical skills, but predictive modeling emphasizes machine learning and statistical techniques, whereas data analysis centers on data interpretation and visualization.

What are the most commonly searched types of Predictive Modeling jobs in Chicago, IL?

The most popular types of Predictive Modeling jobs in Chicago, IL are:

What are popular job titles related to Remote Predictive Modeling jobs in Chicago, IL?

For Remote Predictive Modeling jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Remote Predictive Modeling jobs in Chicago, IL look for?

The top searched job categories for Remote Predictive Modeling jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Remote Predictive Modeling jobs?

Cities near Chicago, IL with the most Remote Predictive Modeling job openings:

Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Re-posted 2 days ago


Job description

Digital Signal Processing (DSP) Engineer – AI/ML Ops
Location: Chicago, IL (Hybrid/Onsite Preferred)
 
Responsibilities
• Design and implement advanced DSP algorithms for real-time and offline signal processing.
• Develop AI/ML models for signal classification, anomaly detection, feature extraction, and predictive analytics.
• Build scalable data pipelines for signal acquisition, preprocessing, and model training.
• Deploy ML models into production using MLOps best practices.
• Optimize DSP and AI algorithms for latency, throughput, and computational efficiency.
• Collaborate with data scientists, embedded engineers, and software development teams.
• Implement CI/CD pipelines for machine learning workflows.
• Monitor production models for drift, performance, and reliability.
• Work with cloud-native AI services and containerized deployments.
• Document architecture, algorithms, and deployment processes.
 
Required Qualifications
• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 5+ years of experience in Digital Signal Processing.
• Strong knowledge of: o Digital Filters o FFT o Wavelets o Spectral Analysis o Adaptive Filtering o Time-Series Signal Processing
• Proficiency in Python and C/C++.
• Experience with TensorFlow or PyTorch.
• Hands-on experience building ML pipelines.
• Experience with Docker and Kubernetes.
• Experience with Git and CI/CD. Preferred Qualifications
• Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Experience deploying AI models at the edge.
• Familiarity with NVIDIA CUDA or GPU optimization.
• Experience with audio, radar, RF, image, LiDAR, or sensor signal processing.
• Knowledge of LLMs and Agentic AI is a plus.
• Experience working in regulated industries (Healthcare, Automotive, Aerospace, Telecom, Industrial).