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Remote Data Science Student Jobs in Columbus, OH

Varsity Tutors

Data Science Tutor

Columbus, OH · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

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Data Entry Clerk

Columbus, OH · Remote

$40 - $45/hr

We are currently hiring Remote Data Entry Clerks to join our growing team. This work-from-home opportunity is perfect for individuals seeking a flexible schedule, including students, recent graduates ...

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Remote Data Science Student information

See Columbus, OH salary details

$40.1K

$137.6K

$194.1K

How much do remote data science student jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote data science student in Columbus, OH is $137,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $160,800.00 per year, depending on experience, location, and employer.

Can I get a data scientist job with no experience?

Entry-level data scientist positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is beneficial, candidates can improve their chances by completing relevant coursework, projects, or certifications to demonstrate skills to employers.

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 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.

Can I get a remote job as a data scientist?

Yes, remote data scientist positions are available across various industries and companies. These roles typically require strong skills in programming, data analysis, and machine learning, and often involve using tools like Python, R, and cloud platforms. Candidates should have relevant education, experience, and sometimes certifications to qualify for remote work opportunities.

Is 30 too late for data science?

The remote data science student role typically values skills and experience over age; many professionals transition into data science later in life. Learning programming languages like Python, gaining experience with data analysis tools, and building a portfolio can help regardless of age. Age should not be a barrier to entering the field if you develop relevant skills and stay committed.

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 is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to improve model performance efficiently.

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.
What are popular job titles related to Remote Data Science Student jobs in Columbus, OH? For Remote Data Science Student jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Student jobs in Columbus, OH look for? The top searched job categories for Remote Data Science Student jobs in Columbus, OH are:
Remote Data Science Student jobs near you
Data Science Tutor

Data Science Tutor

Varsity Tutors

Columbus, OH • Remote

$40/hr

Part-time

Posted 11 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Data Science Tutor
  • Advanced Subject Mastery: Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data-driven insights. Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data presentations. Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with data science curricula and bootcamp programs, and common challenges such as data cleaning complexity, selecting appropriate statistical tests, and communicating technical findings to non-technical stakeholders. Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning implementation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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