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Data Science Remote Internship Jobs in Roscoe, IL

Experity

Senior Data Engineer - Remote

Machesney Park, IL · On-site +1

$110K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote: Team members who live within the U.S. but are not local within a commutable distance from ... You will work closely with Data Engineering, Data Science, Machine Learning, Product, and Software ...

Experity

Senior Data Engineer - Remote

Machesney Park, IL · On-site +1

$110K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote: Team members who live within the U.S. but are not local within a commutable distance from ... You will work closely with Data Engineering, Data Science, Machine Learning, Product, and Software ...

Experity

Senior Data Engineer - Remote

Machesney Park, IL · On-site +1

$150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote: Team members who live within the U.S. but are not local within a commutable distance from ... You will work closely with Data Engineering, Data Science, Machine Learning, Product, and Software ...

micro1 AI

Bioinformatics Software Engineer

Rockford, IL · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

Pharmacovigilance Expert

Rockford, IL · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

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Data Science Remote Internship information

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How much do data science remote internship jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data science remote internship in Roscoe, IL is $21.92, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $23.89 per hour, depending on experience, location, and employer.

What is a data science remote internship?

A Data Science Remote Internship is a temporary, practical work experience opportunity in the field of data science that is completed remotely, usually from your own home or any location with internet access. Interns work on real-world projects involving data analysis, machine learning, and statistical modeling, often collaborating with teams through online communication tools. This type of internship is ideal for gaining hands-on experience, building a portfolio, and developing skills relevant to data science careers, all while offering flexibility and eliminating the need to relocate.

What are the key skills and qualifications needed to thrive as a data science remote intern?

To thrive as a Data Science Remote Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or projects in data science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow) is typically expected. Strong problem-solving abilities, self-motivation, and effective communication are essential soft skills for collaborating remotely and conveying analytical insights. These competencies ensure you can independently contribute to projects, adapt to remote workflows, and deliver actionable data-driven solutions.

What types of projects can I expect to work on during a remote data science internship, and how is project collaboration typically managed?

During a remote data science internship, you can expect to work on projects such as data cleaning, exploratory data analysis, model development, and visualization tasks that support ongoing business needs. Collaboration is commonly managed through virtual tools like Slack, Zoom, and project management platforms (e.g., Jira or Trello), with regular check-ins and code reviews from your mentor or team. Interns often participate in team meetings, contribute to group presentations, and use version control systems like Git to share code and receive feedback. This structure ensures you gain practical experience while staying connected with your team, even in a remote setting.

What is the difference between Data Science Remote Internship vs Data Analyst Remote Internship?

AspectData Science Remote InternshipData Analyst Remote Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften pursuing or recent graduate in Data Analysis, Business, or related fields
Work EnvironmentRemote, collaborative with data science teams, using programming languages like Python or RRemote, focusing on data interpretation, visualization, and reporting tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, finance, healthcare, startupsBusiness, marketing, finance, consulting firms

While both roles involve working with data remotely, Data Science Remote Internships focus on building predictive models and programming skills, whereas Data Analyst Remote Internships emphasize data interpretation, visualization, and reporting. The choice depends on your career goals and skill set.

What job categories do people searching Data Science Remote Internship jobs in Roscoe, IL look for?

The top searched job categories for Data Science Remote Internship jobs in Roscoe, IL are:

What cities near Roscoe, IL are hiring for Data Science Remote Internship jobs?

Cities near Roscoe, IL with the most Data Science Remote Internship job openings:

Data Science Remote Internship jobs near you

Senior Data Engineer - Remote

Experity

Machesney Park, IL • On-site, Remote

$110K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Experity rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

79th of 244 rated software companies

Job description

Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software that makes care faster, easier, and more patient-focused. Joining us means doing meaningful work that directly improves the healthcare experience for millions-from helping families access care quickly to ensuring clinics run smoothly behind the scenes. If you want to make a real impact alongside innovative, dedicated teammates while contributing to a trusted platform that's becoming the operating system for on-demand care, Experity is the place to grow your career.
Why You'll Love Working Here
At Experity, great work starts with great people-and we go the extra mile to support our team with a culture of care, growth, and celebration:
  • Day-One Benefits: Health, dental/orthodontia, and vision coverage the moment you start.

  • Ownership & Impact: Be part of our success with a synthetic ownership program after one year.

  • Robust Support: Access our Employee Assistance Program for everything from mental wellness to financial coaching. Pets, planning a vacation, and more.

  • Recharge & Reconnect: Generous PTO, team events, family picnics, and holiday parties.

  • Career Growth: Development programs designed to help you thrive and grow.

  • Competitive Compensation: Including quarterly bonuses and 401(k) matching to invest in your future.

Position Type: Full-time
Compensation: $110,000-$150,000, based on experience
Location:
  • Remote: Team members who live within the U.S. but are not local within a commutable distance from one of our offices may work remotely, with occasional travel to an Experity office for meetings, team collaboration or as needed.

Position Overview
We are seeking a Senior Data Engineer to design, build, and operate scalable data pipelines and data platform capabilities that power Experity's analytics, AI/ML, and healthcare products.
This is a hands-on engineering role requiring strong expertise in data engineering, cloud technologies, distributed data processing, and software engineering. You will work closely with Data Engineering, Data Science, Machine Learning, Product, and Software Engineering teams to transform data from diverse sources into trusted, high-quality, and reusable data products.
As a senior member of the team, you will also provide technical leadership, mentor engineers, contribute to architecture and design decisions, and continuously improve the scalability, reliability, and efficiency of Experity's data ecosystem.
What You'll Do
Data Engineering & Platform
  • Design, build, and maintain scalable ETL/ELT pipelines for batch and near-real-time data processing.
  • Integrate data from databases, APIs, applications, event streams, and external sources into Experity's enterprise data platform.
  • Build reusable, high-quality data models and curated data products for analytics, reporting, AI/ML, and operational applications.
  • Develop complex data transformations and processing workflows using Python, SQL, Snowflake, and distributed data technologies.
  • Design data solutions for scalability, availability, resiliency, performance, and cost efficiency.

Engineering Excellence & DataOps
  • Develop reusable frameworks, libraries, and engineering patterns that improve developer productivity and data pipeline consistency.
  • Implement automated testing, CI/CD, Infrastructure as Code, and DataOps practices across data engineering workflows.
  • Build monitoring, alerting, data observability, and automated remediation capabilities to ensure pipeline reliability and data integrity.
  • Troubleshoot complex production issues and drive root-cause analysis and long-term improvements.
  • Continuously optimize data pipelines, queries, storage, and compute for performance and cost.

Data Quality, Governance & Security
  • Implement data quality, validation, lineage, and reconciliation controls across critical data pipelines.
  • Partner with Data Architecture, Governance, and Security teams to ensure data solutions follow enterprise standards.
  • Ensure healthcare data is handled securely and in accordance with applicable privacy, security, and compliance requirements.

Technical Leadership & Collaboration
  • Provide technical leadership through solution design, architecture discussions, code reviews, and engineering best practices.
  • Mentor Data Engineers and help improve engineering quality and technical capabilities across the team.
  • Partner with Data Scientists and Machine Learning Engineers to build reliable datasets, feature pipelines, and data infrastructure for AI/ML applications.
  • Collaborate with Product, Engineering, Analytics, and business stakeholders to translate requirements into scalable data solutions.
  • Maintain clear technical documentation for data pipelines, models, architecture, and operational processes.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field.
  • 5+ years of experience building production-grade data pipelines, data platforms, and large-scale data processing solutions.
  • Advanced proficiency in Python and SQL with strong software engineering fundamentals.
  • Hands-on experience with Snowflake and cloud-based data platforms.
  • Experience with Kafka, Flink, or other distributed and streaming technologies.
  • Strong experience with AWS, including services such as S3, Lambda, Glue, Kinesis, or equivalent cloud technologies.
  • Experience designing and optimizing ETL/ELT pipelines, data models, and high-volume data processing workflows.
  • Experience with orchestration technologies such as Airflow or equivalent platforms.
  • Experience with CI/CD, Git, automated testing, and Infrastructure as Code.
  • Strong understanding of data quality, governance, security, observability, and production support.
  • Strong problem-solving, communication, and cross-functional collaboration skills.
  • A "full-stack mindset", not hesitating to do what it takes to solve a problem end-to-end

Preferred
  • Experience transforming data leveraging dbt, preferably dbt cloud.
  • Experience working in AI-native engineering environments and effectively leveraging AI-assisted development tools to improve engineering velocity, code quality, and operational efficiency.
  • Experience supporting Machine Learning and Generative AI workloads, including feature engineering and ML data pipelines.
  • Experience with Docker, Kubernetes, Terraform, or CloudFormation.
  • Experience with data cataloging, lineage, metadata management, and data observability platforms.
  • Experience in Healthcare, HealthTech, SaaS, or other regulated industries.

Why our team?
  • Build scalable data platforms that power healthcare products, analytics, Machine Learning, and Generative AI.
  • Solve challenging data problems involving large, complex, and highly valuable healthcare datasets.
  • Work with modern technologies including Snowflake, AWS, Python, Spark, and streaming platforms.
  • Collaborate closely with Data Engineering, Machine Learning, Data Science, Product, and Engineering teams.
  • Provide technical leadership while continuing to remain deeply hands-on with engineering.

Experity is committed to fostering a diverse, equitable, and inclusive workplace where innovation thrives through collaboration, diverse perspectives, and continuous learning.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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