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Remote Data Science Student Jobs in Illinois (NOW HIRING)

Alignerr

Data Scientist (Masters)

Chicago, IL · Remote

This is a fully remote, flexible contract role. No prior AI industry experience required - just deep, hands-on command of data science and the ability to think critically about how models reason.

HNI Corporation

Sr. Data Scientist

Chicago, IL · On-site +1

... 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 ...

HNI Corporation

Sr. Data Scientist

Chicago, IL · On-site +1

... 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 ...

HNI

Sr. Data Scientist

Chicago, IL · Remote

... 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 ...

1872 Consulting

Remote Data Engineer

Oak Brook, IL · Remote

$115.70K - $138.90K/yr

Collaborate with data scientists to prepare data for model development and production. * Collaborate with data visualization and reporting application developers to ensure the sustainability of ...

The Hartford

Data Scientist

Chicago, IL · On-site +1

$90.16K - $135.24K/yr

... science team responsible for designing and delivering powerful analytical insights utilizing ... This role can have a Hybrid or Remote work arrangement depending on experience and skillset.

Elios, Inc.

Senior Data Scientist

Chicago, IL · On-site +1

$140K - $160K/yr

Senior Data Scientist - (Remote) Location: Remote (Company Headquarters: Chicago, IL) Salary Range: $140,000 - $160,000 per year Employment Type: Full-Time About Us: We are an innovative software ...

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Remote Data Science Student information

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

To thrive as a Remote Data Science Student, you need a solid grounding in statistics, programming (Python or R), and data analysis, often supported by a relevant undergraduate degree or coursework. Familiarity with tools like Jupyter Notebooks, SQL, Git, and data visualization software is essential, along with experience using online learning platforms. Strong time management, self-motivation, and effective communication skills help you stay on track and engage with peers and instructors remotely. Mastering these skills ensures you can independently acquire knowledge, complete projects, and collaborate effectively in a virtual learning environment.

How do Remote Data Science Students typically collaborate and communicate with peers and instructors to enhance their learning experience?

Remote Data Science Students often engage with peers and instructors through online platforms such as discussion forums, video calls, and collaborative coding environments. Regular participation in virtual study groups, project teams, and mentorship sessions can help students stay motivated and deepen their understanding of complex topics. Proactively reaching out for feedback, sharing progress, and contributing to group projects are key ways to build valuable connections and learn industry-relevant teamwork skills, even in a remote setting.

What are remote data science students?

Remote data science students are individuals who study data science through online programs or courses, rather than attending classes in person. They learn key concepts such as statistics, machine learning, and programming using digital resources and remote instruction. This flexible approach allows students to access high-quality education from anywhere, often at their own pace. Remote data science students may participate in virtual classes, complete assignments online, and collaborate with peers and instructors through digital platforms.

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

AspectRemote Data Science StudentRemote Data Analyst
Required CredentialsEnrolled in or recently completed data science courses, certificationsDegree in statistics, mathematics, or related field; some certifications
Work EnvironmentLearning-focused, internship or entry-level projects, mentorshipAnalyzing data, creating reports, supporting decision-making
Employer & Industry UsageEducational institutions, internships, entry-level roles in tech, finance, healthcareBusinesses across industries, performing routine data analysis tasks

The main difference is that a Remote Data Science Student is typically in training or early learning stages, focusing on gaining skills through coursework and internships. In contrast, a Remote Data Analyst is usually engaged in applying existing skills to analyze data and generate insights for organizations. Both roles are entry-level but differ in experience, responsibilities, and focus areas.

What are the most commonly searched types of Data Science Student jobs in Illinois? The most popular types of Data Science Student jobs in Illinois are:
What are popular job titles related to Remote Data Science Student jobs in Illinois? For Remote Data Science Student jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Student jobs in Illinois look for? The top searched job categories for Remote Data Science Student jobs in Illinois are:
What cities in Illinois are hiring for Remote Data Science Student jobs? Cities in Illinois with the most Remote Data Science Student job openings:
Remote Data Science Student jobs near you

Data Science Expert - AI Content Specialist

Alignerr

Chicago, IL • Remote

Other

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

Job description

Data Science Expert - AI Content Specialist
About the Role
What if your deep knowledge of machine learning, statistics, and data engineering could directly shape how the next generation of AI thinks and reasons? We're looking for Data Science Experts to help train and refine cutting-edge AI models - working alongside world-leading AI research labs from wherever you are in the world.
This is a fully remote, flexible contract role designed for experienced data scientists, ML engineers, and quantitative researchers who want to do meaningful, intellectually stimulating work on their own schedule.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Design Advanced Challenges
    - Develop complex, expert-level data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
  • Author Ground-Truth Solutions
    - Write rigorous, step-by-step technical solutions - including Python/R scripts, SQL queries, and mathematical derivations - that serve as the gold standard for model training
  • Audit AI-Generated Code
    - Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical correctness, efficiency, and best practices
  • Refine AI Reasoning
    - Identify logical failures in AI thinking - such as data leakage, overfitting, or mishandled class imbalance - and deliver structured feedback that improves model performance
  • Stress-Test Model Limits
    - Push AI systems to their boundaries across machine learning theory, statistical inference, neural network architectures, and data engineering pipelines
Who You Are
  • Hold or are pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
  • Strong foundational expertise in supervised/unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLP
  • Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing
  • Meticulous attention to detail - from code syntax to mathematical notation to the validity of statistical conclusions
  • Self-directed and comfortable working independently on technical tasks
  • No prior AI or annotation experience required
Nice to Have
  • Experience with data annotation, data quality, or AI evaluation workflows
  • Familiarity with production data science practices such as MLOps or CI/CD pipelines for models
  • Prior work in academic research, technical writing, or quantitative analysis
Why Join Us
  • Work directly with industry-leading large language models and cutting-edge AI research
  • Fully remote and async - work on your own schedule, from anywhere
  • Freelance autonomy with consistent, meaningful technical work
  • Engage with intellectually challenging problems that have a real impact on the future of AI
  • Potential for ongoing contract renewals as new projects launch

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