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Entry Level Python Data Science Jobs in Richmond, VA

Varsity Tutors

Data Science Tutor

Richmond, VA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Varsity Tutors

Python Tutor

Richmond, VA · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

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Entry Level Python Data Science information

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$13

$58

$85

How much do entry level python data science jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for entry level python data science in Richmond, VA is $58.01, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.91 per hour, depending on experience, location, and employer.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an entry level Python data scientist?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What are some common challenges faced by entry level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are the most commonly searched types of Python Data Science jobs in Richmond, VA?

The most popular types of Python Data Science jobs in Richmond, VA are:

What are popular job titles related to Entry Level Python Data Science jobs in Richmond, VA?

For Entry Level Python Data Science jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Data Science jobs in Richmond, VA look for?

The top searched job categories for Entry Level Python Data Science jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Entry Level Python Data Science jobs?

Cities near Richmond, VA with the most Entry Level Python Data Science job openings:

Entry Level Python Data Science jobs near you
Infographic showing various Entry Level Python Data Science job openings in Richmond, VA as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 7% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $120,668 per year, or $58 per hour.

Data Science Tutor

Richmond, VA • Remote

Varsity Tutors
Education • 501 - 1,000 employees

5.9

Company rating: 5.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

11th of 24 rated private schools and tutoring

People enjoy working here

Recommended by students

Uninterrupted breaks

Learn more about Varsity Tutorsexternal

$18 - $40/hr

Part-time

Re-posted 25 days ago

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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