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Entry Level Python Data Science Jobs in Richmond, VA

TMS

Agentic Data Engineer

Richmond, VA · On-site

$80 - $95/hr

Collaborate with data scientists and engineers to preprocess data, train models, and integrate AI ... Strong programming skills in Python and experience with AI/ML frameworks. * Proficiency in vector ...

Palnar

Data Analyst (ONLY W2)

Richmond, VA · On-site

... Python and PySpark required Experience in Databricks required Excellent communication skills with the ability to speak to stakeholders One of the 6 candidates should be more of Data Science heavy ...

Laksan Technologies

Data Scientist

Richmond, VA · On-site

This Data Scientist position with the Professional Services Procurement Office will be an important ... SQL, Python, PySpark, Shell Scripting, PowerShell * Data visualization: Tableau Desktop & Server ...

SynergisticIT

Junior Cloud Data Engineer

Richmond, VA · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full-time positions ...

Carmax

Engineer II, Data

Richmond, VA · On-site

$113K - $136K/yr

... scientists or any persona that needs curated data for operational and analytical data use cases ... Write and maintain clean, testable Python code following software engineering best practices

Beyond SOF

Data Scientist 4

Richmond, VA · On-site

This Data Scientist position with the Professional Services Procurement Office will be an important ... SQL, Python, PySpark, Shell Scripting, PowerShell Data visualization: Tableau Desktop & Server ...

Beyond SOF

Data Scientist 4

Richmond, VA · On-site

This Data Scientist position with the Professional Services Procurement Office will be an important ... SQL, Python, PySpark, Shell Scripting, PowerShell Data visualization: Tableau Desktop & Server ...

Carmax

Sr. Data Scientist - Pricing Algorithms

Richmond, VA · On-site

$106K - $159K/yr

... data science tools * Influence the team in the development of our modeling capability strategic ... Python/SQL programming * Data cleaning and pre-processing * Statistical and probabilistic analysis ...

nLeague

Data Scientist

Richmond, VA · On-site

Data Scientist 4 Location: 600 E Main Street, 20th Fl, Richmond, VA 23219 Duration: 5+ Months ... Python * SaS * Data Management and Development

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Entry Level Python Data Science information

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$58

$85

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

As of Jul 3, 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 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 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, and why are they important?

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 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 June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $120,668 per year, or $58 per hour.
Associate Biostatistician / Associate Data Scientist

Associate Biostatistician / Associate Data Scientist

UNITED NETWORK FOR ORGAN SHARING

Richmond, VA

$58K - $59K/yr

Full-time

Posted yesterday

Job description

Position Description

UNOS is seeking an Associate Biostatistician / Associate Data Scientist to support data-driven research, analytics, and initiatives aligned with organizational priorities.

 This role is designed for early-career professionals seeking to build foundational skills in biostatistics and data science within a healthcare research setting. In this role, you will work with complex datasets under guidance to support research and analytical efforts. You will apply established statistical and analytical methods to solve well-defined problems while developing expertise in transplantation, healthcare data, and organizational processes.

Key Responsibilities

  • Execute analysis plans using statistical and data science methods (e.g., regression, survival analysis, predictive modeling, machine learning)
  • Support data cleaning, management, and transformation 
  • Execute analyses that generate insights and support decision-making
  • Prepare summaries, visualizations, and reports for a range of audiences
  • Contribute to research projects, analytical initiatives, and data-driven product development efforts
  • Collaborate with cross-functional teams including research, data engineering, software development, and DevOps to support model development and deployment
  • Build and maintain reproducible analytical workflows and contribute to shared codebases following established development standards
  • Support the development, testing, and implementation of statistical and machine learning models under the guidance of more experienced team members
  • Use AI-assisted tools (e.g., Copilot, Claude, or similar) to enhance coding, analysis, and documentation workflows
  • Participate in quality checks to ensure accuracy, reproducibility, and reliability of results
  • Manage assignments and meet deadlines with guidance
  • Support development of manuscripts, abstracts, and presentations
  • Actively develop skills through mentorship and training

Minimum Requirements

  • Minimum 2 years of experience in statistical analysis or data science (including graduate research experience).
  • Experience working with real-world datasets and analytical tools

Critical Skills

  • Foundational statistical analysis
  • Data manipulation, management, and reproducible workflows
  • Programming in R, Python, SQL, or similar tools
  • Experience with version control systems (e.g., Git)
  • Strong problem-solving skills and attention to detail
  • Effective written and verbal communication skills
  • Willingness to learn new tools, methods, and subject areas

Preferred Skills & Qualifications

  • Experience working with healthcare or health-related data
  • Experience with data visualization tools (e.g., Tableau, Power BI, or similar)
  • Exposure to machine learning concepts or predictive modeling
  • Familiarity with cloud platforms, big data tools, or high-performance computing
  • Exposure to model deployment or data engineering concepts through coursework or projects
  • Experience contributing to presentations or publications

Education

  • Master’s degree in Statistics, Biostatistics, Data Science, Computer Science, Bioinformatics, or a related field.

Physical Requirements

  • General office demands
    • Prolonged periods of sitting at a desk and working on a computer.
    • Frequent reaching, handling, and fine manipulation for using office equipment, filing, and managing paperwork.
    • Manual dexterity sufficient to operate a keyboard, mouse, and other office tools.
    • Occasional standing, walking, and bending.
    • Ability to lift up to 10-20 pounds occasionally.
    • Vision abilities required include close vision for computer work and reading documents.
    • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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