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Mid Level Machine Learning Teaching Jobs in Burr Ridge, IL

HNI Corporation

Sr. Data Scientist

Chicago, IL · On-site

... machine learning, and statistical modeling. This role goes beyond model development to include ... Mentor and guide junior and mid-level data scientists, providing technical feedback and coaching.

Sargent & Lundy

Mid-Level Structural Engineer

Chicago, IL · On-site

$84.76K - $129.50K/yr

We also value additional learning, such as a minor, certificate, or other experience in Computer Science, Artificial Intelligence, Software Engineering, or related fields that enables effective ...

Gensler

Project Architect - Mid Level

Chicago, IL · On-site

$80K - $95K/yr

Contribute to office activities, initiatives, and learning programs Your Qualifications * Bachelor's degree in Architecture from an accredited school * Licensure required * 5+ years of experience ...

Sargent & Lundy

Mid-Level Civil Engineer

Chicago, IL · On-site

$84.76K - $129.50K/yr

We also value additional learning, such as a minor, certificate, or other experience in Computer Science, Artificial Intelligence, Software Engineering, or related fields that enables effective ...

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Mid Level Machine Learning Teaching information

See Burr Ridge, IL salary details

$31.1K

$127.1K

$190.9K

How much do mid level machine learning teaching jobs pay per year?

As of May 30, 2026, the average yearly pay for mid level machine learning teaching in Burr Ridge, IL is $127,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $152,900.00 per year, depending on experience, location, and employer.

What is the difference between Mid Level Machine Learning Teaching vs Data Scientist?

AspectMid Level Machine Learning TeachingData Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related; teaching experienceBachelor's or Master's in CS, Data Science, or related; often requires experience
Work EnvironmentEducational institutions, online platforms, corporate trainingTech companies, finance, healthcare, research labs
Employer & Industry UsageEducational and training sectors, universities, online educationPrivate sector, industry-specific applications, research
Common Search & Comparison IntentUnderstanding teaching roles in ML, educational careersData analysis, modeling, industry applications

Mid Level Machine Learning Teaching focuses on educating students or professionals in ML concepts, often requiring teaching experience and educational credentials. Data Scientists analyze data, build models, and apply ML techniques in industry settings. While both roles involve ML knowledge, teaching emphasizes instruction, whereas data science emphasizes application and analysis.

What cities near Burr Ridge, IL are hiring for Mid Level Machine Learning Teaching jobs? Cities near Burr Ridge, IL with the most Mid Level Machine Learning Teaching job openings:
Mid Level Machine Learning Teaching jobs near you
Sr. Data Scientist

Sr. Data Scientist

HNI Corporation

Chicago, IL • On-site

Full-time

Posted 8 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

Description
Position at HNI Corporation
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!
HNI Corporation (NYSE: HNI) is a manufacturer of workplace furnishings and building products, operating under two segments. The workplace furnishings segment is a leading global designer and provider of commercial furnishings, going to market under multiple unique brands. The residential building products segment is the nation's leading manufacturer and marketer of hearth products.We offer benefits starting from Day 1. To learn more, visit www.HNIbenefits.com.Our company endeavors to make www.hnicareers.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at 563-272-7400 or via email at [email protected] Company is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law.

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