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Data Science Remote Volunteer Jobs (NOW HIRING)

Corning

Data Scientist (Remote)

Corning, NY · On-site +1

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the ... Remote Role Summary The Data Scientist II / III role is an exciting opportunity to join Corning ...

Stellar IT Solutions LLC

Data Scientist

Saint Louis, MO · Remote

$55 - $60/hr

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data foundation-heavy Data Scientist role with strong overlap into Data Engineering. What the client is ...

Premise Health

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote, Data Science Analyst role. What You'll Do * Analysis, Model Development & AI Solutions: * Perform exploratory data analysis to identify patterns and opportunities in ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven ...

Paylocity

Manager Data Science

This is a fully remote position, allowing you to work from home or location of record within the U ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

College Board

Senior Data Scientist

Candidates who live near CB offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office). Type: This is a full-time position About the Team The Data Science team provides ...

Addison Group

Sr. Data Scientist

Chicago, IL · On-site +1

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven ...

System One

Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

... REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field. * Solid experience in data science, machine ...

Corvel

Data Science Manager

Irvine, CA · On-site +1

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build ...

College Board

Data Scientist, Data Science Team

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... This is a full-time position About the Team The Data Science team provides critical insights and ...

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Data Science Remote Volunteer information

What is a Data Science Remote Volunteer job?

A Data Science Remote Volunteer job involves assisting organizations with data-related tasks such as data cleaning, analysis, and machine learning model development, all while working remotely. Volunteers typically help nonprofits, research institutions, or startups by leveraging data to drive insights and decision-making. This role allows individuals to gain practical experience, contribute to meaningful projects, and improve their data science skills without being in a paid position.

What are the key skills and qualifications needed to thrive in the Data Science Remote Volunteer position, and why are they important?

To thrive as a Data Science Remote Volunteer, you need a solid understanding of statistical analysis, data cleaning, and programming—typically with experience in Python or R and familiarity with machine learning concepts. Proficiency with data visualization tools like Tableau or Power BI, and knowledge of database systems such as SQL, is highly valuable; certifications like Google Data Analytics or DataCamp can further strengthen your candidacy. Strong communication skills, self-motivation, and the ability to collaborate virtually with diverse teams are essential soft skills. These abilities are crucial for delivering impactful insights, contributing effectively in remote settings, and supporting organizational goals even outside a traditional paid environment.

What does a typical project or task involve for a Data Science Remote Volunteer?

As a Data Science Remote Volunteer, your typical tasks may include cleaning and organizing datasets, developing predictive models, visualizing data findings, and preparing reports for stakeholders. You might collaborate with other volunteers or staff members using collaborative tools like Slack, Zoom, or GitHub to work on projects ranging from social impact data analysis to supporting nonprofit decision-making. Projects often involve both individual research and team-based problem solving, giving you experience in each stage of the data science workflow. This volunteer opportunity is a great way to gain real-world experience, expand your professional network, and make a tangible difference through data-driven insights.

More about Data Science Remote Volunteer jobs
What cities are hiring for Data Science Remote Volunteer jobs? Cities with the most Data Science Remote Volunteer job openings:
What states have the most Data Science Remote Volunteer jobs? States with the most job openings for Data Science Remote Volunteer jobs include:
What job categories do people searching Data Science Remote Volunteer jobs look for? The top searched job categories for Data Science Remote Volunteer jobs are:
Data Science Remote Volunteer jobs near you
Infographic showing various Data Science Remote Volunteer job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 84% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.
Data Scientist (Remote)

Data Scientist (Remote)

Corning

Corning, NY • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Corning rating

8.2

Company rating: 8.2 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

79th of 519 rated manufacturers

Job description

Requisition Number: 74528
The company built on breakthroughs.
Join us.
Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.
How do we do this? With our people. They break through limitations and expectations - not once in a career, but every day. They help move our company, and the world, forward.
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.
Come break through with us.
Corning's businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with:
  • Trusted products that accelerate drug discovery, development, and delivery to save lives
  • Damage-resistant cover glass to enhance the devices that keep us connected
  • Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
  • Precision glass for advanced displays to deliver richer experiences
  • Auto glass and ceramics to drive cleaner, safer, and smarter transportation
  • Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions

Location: Remote
Role Summary
The Data Scientist II / III role is an exciting opportunity to join Corning's Data Science & Insight (DSI) team, where the individual will develop AI and machine learning solutions that enhance efficiency, generate actionable insights, and improve decision-making across a large and complex Fortune 500 organization.
This position sits within the Finance function and supports digital transformation initiatives across both corporate finance and the broader enterprise. A central focus of the role is the design and delivery of enterprise-grade, reusable AI/ML models and frameworks that can be applied across finance to address a broad range of business challenges.
The team brings together expertise in statistics, data science, machine learning, artificial intelligence, MLOps, and corporate finance. Projects are executed in a highly collaborative environment, while also requiring strong individual ownership and initiative.
Using advanced analytical and modeling techniques, the Data Scientist will enable objective, insight-driven analysis for stakeholders at all levels, including senior leadership. This role requires deep technical capability in applying sophisticated data science and machine learning methods to complex finance-related challenges, including time series analysis, Bayesian modeling, supervised and unsupervised learning, reinforcement learning, deep learning, natural language processing, and Generative AI.
The role is responsible for developing scalable, reusable solutions and helping to elevate modeling standards across the finance organization. This position follows a hybrid-remote model, with the expectation of being onsite at Corning headquarters for in-person meetings as needed.
Role Context
The Data Scientist is a core member of the centralized Digital Center AI team supporting Finance. This role is responsible for building and maintaining shared AI capabilities-including forecasting, predictive modeling, NLP/GenAI, prescriptive analytics, and pattern recognition-for use across FP&A, Treasury, Controllership, Tax, and Risk.
Success in this role requires a strong focus on scalability, robustness, and responsible deployment, as well as the consistent application of industry best practices in model development, validation, documentation, governance, and MLOps. The individual in this role is also expected to remain current with advancements in AI and machine learning and translate relevant innovations into practical, enterprise-ready applications.
Key Responsibilities
  • Design, develop, and validate foundational, reusable AI/ML models and frameworks that can be leveraged across multiple finance functions.
  • Apply advanced statistical and machine learning methods-including time series analysis, Bayesian techniques, tree-based models, clustering, deep learning, NLP, and Generative AI-to solve complex cross-functional finance business problems.
  • Implement best practices across the full model lifecycle, including problem framing, data quality assessment, feature engineering, validation, interpretability, monitoring, documentation, and reproducibility.
  • Evaluate existing models, metrics, and workflows critically, and recommend enhancements to improve robustness, scalability, and operational efficiency.
  • Partner with ML Engineers and Data Engineers to transition prototypes and research into production-ready, governed AI solutions.
  • Translate analytical findings into clear business insights and recommendations for senior finance leaders and executives.
  • Coach and mentor embedded Finance data scientists on modeling standards, reusable approaches, and best practices.
  • Stay informed on emerging AI/ML research, tools, and methodologies, and identify opportunities to adopt innovations that deliver measurable business value and can be operationalized responsibly.
  • Communicate learnings, model performance, and standards through presentations, documentation, and knowledge-sharing forums.
  • Compile, integrate, and prepare internal and external data sources for advanced analysis and modeling.
  • Contribute high-quality, well-documented code to shared repositories in accordance with enterprise standards.

Required Education and Experience
  • Minimum of 5 years of experience applying data science and machine learning methods to solve complex business problems.
  • Master's degree or PhD in a quantitative discipline such as Data Science, Statistics, Mathematics, Computer Science, Economics, or Finance.
  • Academic coursework in applied statistics, machine learning, or data science.
  • Coursework or demonstrated interest in Finance, Economics, or Operations Management is a plus.

Required Qualifications
  • Demonstrated ability to work independently while contributing effectively within highly collaborative, cross-functional teams.
  • Proven success in converting research and analytical work into production-ready solutions.
  • Strong curiosity and willingness to challenge conventional processes and assumptions.
  • Self-motivated with a commitment to continuous learning and staying current with evolving AI/ML tools and practices.
  • Ability to communicate complex technical analysis clearly and effectively to senior business stakeholders.
  • Prior publications or conference presentations in quantitative or technical fields are a plus.

Technical Competencies
  • Strong proficiency in Python and the broader Python AI/data science ecosystem.
  • Experience with Git-based source control, including platforms such as GitHub or GitLab.
  • Familiarity with Databricks and cloud-based machine learning platforms such as AWS or Azure is preferred.
  • Experience with distributed computing frameworks such as Spark is a plus.

The range for this position is $109,335.00 - $150,336.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.

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