ZipRecruiter

Log In

2

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

HNI Corporation

Sr. Data Scientist

Chicago, IL · On-site +1

Due to the remote nature of this role and associated employment requirements, the company is unable ... Model Development * Lead the design, development, and deployment of advanced predictive ...

Snapsheet

GTM Strategy and Operations Lead

Chicago, IL · On-site +1

Remote Job Type: Full-time About Snapsheet: Snapsheet is claims technology the way it should be ... Build models to identify "whitespace" within existing accounts, helping AEs prioritize which ...

RF Ideas

Pre-Sales Manager

Schaumburg, IL · Remote

Partner with Sales leadership to align SE coverage models, territory assignments, and deal ... Remote/Home based Benefits: * Health, Dental, Vision * Employer Paid Life/STD/LTD * 401K + Company ...

Sitecore

VP Marketing, NA

Chicago, IL · On-site +1

Boston area (hybrid in Manchester, NH) and Chicago (remote) About Us: At Sitecore, our mission is ... The VP is both a strategic leader and a hands-on operator, accountable for making NA the model for ...

next page

Showing results 1-20

All JobsRemote Predictive Modeling JobsRemote Predictive Modeling Jobs in Chicago, IL

Remote Predictive Modeling information

See Chicago, IL salary details

$24

$61

$78

How much do remote predictive modeling jobs pay per hour?

As of Jun 10, 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:
Remote Predictive Modeling jobs near you
Sr. Data Scientist

Sr. Data Scientist

HNI Corporation

Chicago, IL • On-site, Remote

Full-time

Posted 19 days ago

HNI Corporation rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

10th of 46 rated furniture manufacturers

Job description

HNI Corporation is a global family of brands for the workplace and home dedicated to enhancing the spaces where we live, work, and gather. We pride ourselves on fostering an environment where we make a positive impact on others; upholding our beliefs in integrity, inclusion and belonging.
 
The Senior Data Scientist is a highly experienced individual contributor within the Decision Science team, responsible for solving complex, cross-functional, and high-impact business problems using advanced analytics, machine learning, and statistical modeling. This role goes beyond model development to include technical leadership, solution design, and end-to-end ownership of data science initiatives—from problem framing and data strategy through production deployment and performance monitoring.
 
As a senior member of the team, this role helps shape HNI’s data science standards, mentors other data scientists, and partners closely with business and IT leaders to ensure data science solutions are scalable, reliable, and aligned to strategic priorities.
 
WORK AUTHORIZATION & LOCATION REQUIREMENT
 
This position is primarily remote but requires candidates to reside within the Chicagoland area and attend occasional onsite meetings as needed. Due to the remote nature of this role and associated employment requirements, the company is unable to provide employment-based visa sponsorship now or in the future. Applicants must be authorized to work in the United States without sponsorship, and candidates requiring current or future sponsorship will not be considered.
ESSENTIAL DUTIES AND REPONSIBILITIES
Advanced Analytics & Model Development
  • Lead the design, development, and deployment of advanced predictive, prescriptive, and machine learning models to support enterprise decision-making.
  • Apply advanced statistical techniques, feature engineering, and algorithm selection to complex, multi-source datasets.
  • Use SQL, Python and related tools to analyze large-scale internal and external data sources.
  • Identify patterns, trends, and drivers of business performance across manufacturing, supply chain, sales, and operations.

End-to-End Solution Ownership

  • Own data science solutions from initial concept and feasibility assessment through production deployment and ongoing optimization.
  • Define modeling approaches, validation strategies, and performance metrics to ensure business value and technical rigor.
  • Monitor deployed models for performance, drift, and stability; recommend enhancements or retraining strategies.
  • Partner with data engineering and IT teams to ensure models are production-ready and operationally supported.

Business Partnership & Communication

  • Translate complex analytical concepts and results into clear, actionable insights for business leaders and non-technical stakeholders.
  • Act as a trusted analytics advisor to cross-functional partners, influencing decisions through data-driven recommendations.
  • Support executive-level discussions by framing trade-offs, assumptions, and risks associated with analytical solutions.

Technical Leadership & Standards

  • Establish and promote best practices for model development, documentation, testing, and deployment.
  • Mentor and guide junior and mid-level data scientists, providing technical feedback and coaching.
  • Contribute to the evolution of HNI’s data science toolset, methodologies, and operating model.
  • Evaluate emerging analytics, ML, and AI techniques and recommend practical adoption.

Data Strategy & Innovation

  • Collaborate on the design of data collection strategies, analytics pipelines, and feature stores that improve modeling effectiveness.
  • Partner with analytics, BI, and data platform teams to ensure data science outputs are usable across the enterprise.
  • Support advanced use cases such as optimization, simulation, and early-stage AI initiatives.
EXPERIENCE AND REQUIRED SKILLS
  • 7+ years of progressive experience in advanced analytics, data science, or machine learning roles.
  • Master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline.
  • Demonstrated success delivering end-to-end data science solutions in a production environment.
  • Deep hands-on expertise with SQL and Python..
  • Strong experience working in cloud-based environments (Azure preferred; AWS/GCP acceptable).
  • Solid understanding of Linux-based systems and distributed computing environments.
  • Exceptional analytical, problem-solving, and critical-thinking skills.
  • Strong communication, consulting, and stakeholder engagement capabilities.

PREFERRED QUALIFICATIONS

  • Experience supporting analytics in manufacturing, supply chain, or complex operational environments.
  • Exposure to MLOps practices, model lifecycle management, or scalable deployment frameworks.
  • Experience collaborating with data engineers, architects, and platform teams.
  • Familiarity with advanced analytics use cases such as optimization, forecasting, or AI-enabled decision support.

RELEVANT SKILLS

  • Strategic thinker with the ability to connect analytical work to business outcomes.
  • Technically curious, with a passion for continuous learning and innovation.
  • Comfortable operating with ambiguity and shaping problem definitions.
  • Collaborative mentor who elevates team capability without formal authority.
  • High standards for accuracy, reproducibility, and analytical rigor.
We look forward to hearing from you!

What HNI Corporation employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom