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Remote Computer Science Volunteer Jobs in Highland Park, IL

Due to the remote nature of this role and associated employment requirements, the company is unable ... Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a ...

Due to the remote nature of this role and associated employment requirements, the company is unable ... Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a ...

Senior Manager, Data Science

Chicago, IL · On-site +1

$122.40K - $228K/yr

Data Analytics & Reporting This is ideally a hybrid role but open to remote Role Overview We are ... Advanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics ...

Data Scientist

Chicago, IL · On-site +1

$90.16K - $135.24K/yr

This role can have a Hybrid or Remote work arrangement depending on experience and skillset ... Master's in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or ...

Due to the remote nature of this role and associated employment requirements, the company is unable ... Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a ...

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Business Analyst

Chicago, IL · Remote

$65 - $75/hr

We have a JOB FOR YOU!!! 100% Remote. We are looking for a Business Analyst who will be responsible ... Degree in Business Administration, Finance, Computer Science or related field. Company Description ...

Remote Duration: Long-term Contract Required Skills and Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. Minimum of 5 years of experience in Oracle ...

Health Coordinator

Chicago, IL · On-site +1

$20.36 - $25.36/hr

College courses in computer science or the medical field. Notes : This is a remote position in IL VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or ...

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Remote Computer Science Volunteer information

What are the key skills and qualifications needed to thrive as a Remote Computer Science Volunteer, and why are they important?

To thrive as a Remote Computer Science Volunteer, you need a solid understanding of programming languages, algorithms, and software development principles, often supported by formal education or relevant coursework. Familiarity with collaboration tools like GitHub, project management platforms, and virtual meeting software is typically required. Strong communication, self-motivation, and teamwork skills help volunteers effectively contribute and coordinate with diverse, remote teams. These skills and qualities are important for delivering impactful technical solutions and maintaining productivity in a virtual environment.

How do Remote Computer Science Volunteers typically collaborate with team members and project stakeholders?

As a Remote Computer Science Volunteer, you’ll often work with a distributed team using online collaboration tools such as Slack, GitHub, and project management platforms like Trello or Asana. Communication is key, as you’ll need to coordinate with fellow volunteers, project managers, and sometimes end users to clarify requirements, share progress, and review code. Regular virtual meetings and asynchronous updates help maintain project momentum. This collaborative environment not only enhances teamwork but also exposes you to a variety of work styles and technical challenges.

What are remote computer science volunteers?

Remote computer science volunteers are individuals who offer their technical skills and knowledge in computer science to assist organizations, nonprofits, or educational programs from a distance, typically via the internet. They may contribute to projects such as coding, software development, website maintenance, technical support, or teaching programming skills. Volunteering remotely allows these individuals to support causes they care about without needing to be physically present, making it accessible for people from different locations. This role often requires strong communication, self-motivation, and a willingness to collaborate online.

What is the difference between Remote Computer Science Volunteer vs Remote Software Developer?

AspectRemote Computer Science VolunteerRemote Software Developer
Required credentialsOften no formal certifications; focus on skills and passionTypically requires a degree or certifications in software development
Work environmentNon-profit projects, open-source, or educational initiativesCommercial or client-based projects, startups, or established companies
Employer and industry usageNon-profit organizations, open-source communities, educational programsTech companies, startups, corporate clients
Common search and comparison intentUnderstanding volunteer opportunities in CSFinding remote software development jobs

Remote Computer Science Volunteers typically work on non-profit or open-source projects without formal certifications, focusing on community impact. In contrast, remote software developers usually work on commercial projects requiring specific technical credentials. Both roles involve remote work but differ in purpose, environment, and employer type.

What job categories do people searching Remote Computer Science Volunteer jobs in Highland Park, IL look for? The top searched job categories for Remote Computer Science Volunteer jobs in Highland Park, IL are:
What cities near Highland Park, IL are hiring for Remote Computer Science Volunteer jobs? Cities near Highland Park, IL with the most Remote Computer Science Volunteer job openings:
Infographic showing various Remote Computer Science Volunteer job openings in Highland Park, IL as of May 2026, with employment types broken down into 16% Internship, 30% Full Time, 38% Part Time, and 16% Temporary. Highlights an 100% Remote job distribution.
Sr. Data Scientist

Sr. Data Scientist

HNI Corporation

Chicago, IL • On-site, Remote

Full-time

Posted 6 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 leadershipsolution 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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