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Remote Bagging Machine Operator Jobs in Illinois

HNI Corporation

Sr. Data Scientist

Chicago, IL · On-site +1

... machine learning, and statistical modeling. This role goes beyond model development to include ... Due to the remote nature of this role and associated employment requirements, the company is unable ...

General Motors

Senior AI/ML Engineer

Springfield, IL · On-site +1

$103K - $142K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ...

TCC Admin / Other

HR Manager

Chicago, IL · Remote

Location: Remote (US‑based, W‑2) Compensation: Target base around $120,000 (depending on ... Turn an in‑flight HR audit into a practical HR operating system with clear processes and ...

Sbdinc

AI Security Architect - Remote

Virginia, IL · On-site +1

$63.75 - $82.25/hr

... operating environment. Your expertise will help ensure the confidentiality, integrity, and ... Train, audit, and maintain machine learning models used for threat detection and anomaly ...

HERE Technologies

Sr Engineering Manager

Chicago, IL · On-site +1

$205K - $240K/yr

Define and execute technical strategy for applying machine learning and foundational models to map ... Familiarity with technologies related to perception systems, remote sensing, or geospatial data ...

HERE Technologies

Sr Engineering Manager

Chicago, IL · On-site +1

$205K - $240K/yr

Define and execute technical strategy for applying machine learning and foundational models to map ... Familiarity with technologies related to perception systems, remote sensing, or geospatial data ...

Medix

PB Vascular Surgery Coder

Skokie, IL · Remote

$30 - $38/hr

Remote Vascular Surgery Professional Fee Coder Location: Fully Remote Schedule: Monday-Friday ... Interpret operative reports and assign codes for vascular procedures including angioplasty ...

Rethink

DevOps Engineer

Chicago, IL · On-site +1

$54.50 - $74.50/hr

Experience operating autonomously across multiple development teams * Deadline-oriented - ability ... Remote opportunities are available to candidates who reside in the following states: AL, AZ, CT, FL ...

Relativity

Principal Applied Scientist

Chicago, IL · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... We are responsible for designing, validating, and operating the intelligent systems behind ...

Relativity

Principal Applied Scientist

Chicago, IL · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... We are responsible for designing, validating, and operating the intelligent systems behind ...

AMF Bakery

Field Service Technician - Remote

Chicago, IL · On-site +1

Operating understanding of various types of Variable Speed Drives, Sensors, Conveyors, PLC's, OIT ... Basic machine shop and fabricating skills to make modifications to parts in the field, cut & drill ...

Constellation Brands

Senior Database Engineer

Chicago, IL · On-site +1

$113K - $177K/yr

Learn about machine learning, data science, computer vision, artificial intelligence, statistics ... Experience in AWS, hands-on work building and operating data pipelines using services such as S3 ...

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Remote Bagging Machine Operator information

What are some common challenges faced by remote bagging machine operators and how can they be addressed?

Remote bagging machine operators often encounter challenges such as troubleshooting machinery issues without on-site support and maintaining consistent product quality remotely. Effective communication with on-site teams and having clear protocols for remote monitoring are essential for success. Staying organized and proactive in reporting and addressing maintenance needs can help minimize downtime. Leveraging digital tools, regular virtual check-ins, and ongoing training can further enhance performance and ensure smooth operations.

What is a Remote Bagging Machine Operator?

A Remote Bagging Machine Operator is responsible for overseeing and controlling bagging machinery from a remote location, often using computer systems or specialized software. Their duties include monitoring equipment performance, troubleshooting issues, and ensuring products are accurately bagged and prepared for distribution. They may also perform routine maintenance and communicate with on-site staff to address any operational concerns. This role is essential in industries such as manufacturing, agriculture, and food processing to maintain efficiency and product quality.

What is the difference between Remote Bagging Machine Operator vs Remote Packaging Technician?

AspectRemote Bagging Machine OperatorRemote Packaging Technician
CredentialsHigh school diploma, training in machine operationHigh school diploma, training in packaging processes
Work EnvironmentManufacturing or warehouse setting, operating bagging machines remotelyManufacturing or warehouse, handling packaging tasks remotely
Industry UsageFood, pharmaceuticals, logisticsFood, consumer goods, pharmaceuticals

The Remote Bagging Machine Operator and Remote Packaging Technician roles share similar credentials and work environments, often within manufacturing industries. The main difference lies in the specific tasks: the operator focuses on running bagging machinery, while the technician handles broader packaging processes. Both roles require attention to detail and safety awareness, making them closely related in the packaging industry.

What are the key skills and qualifications needed to thrive as a Remote Bagging Machine Operator, and why are they important?

To thrive as a Remote Bagging Machine Operator, you need mechanical aptitude, attention to detail, and a high school diploma or equivalent. Familiarity with automated packaging equipment, remote monitoring software, and basic troubleshooting tools is typically required. Strong problem-solving skills, effective communication, and reliability help operators excel in managing machines remotely and responding quickly to issues. These skills ensure efficient production, minimize downtime, and maintain product quality in automated manufacturing environments.
What are the most commonly searched types of Bagging Machine Operator jobs in Illinois? The most popular types of Bagging Machine Operator jobs in Illinois are:
What are popular job titles related to Remote Bagging Machine Operator jobs in Illinois? For Remote Bagging Machine Operator jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Bagging Machine Operator jobs in Illinois look for? The top searched job categories for Remote Bagging Machine Operator jobs in Illinois are:
What cities in Illinois are hiring for Remote Bagging Machine Operator jobs? Cities in Illinois with the most Remote Bagging Machine Operator job openings:
Remote Bagging Machine Operator 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!

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