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Entry Level Python Data Science Jobs in Richmond, VA

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

... Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data ... Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ...

Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Data Engineer A Data Engineer with Python, PySpark, and AWS expertise is responsible for designing ... Collaborate with data architects, data scientists, and business intelligence teams to understand ...

Agentic Engineer.

Richmond, VA

$106K - $127K/yr

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 working ...

AI Engineer

Manakin Sabot, VA · On-site

$106K - $128K/yr

Collaborate with data scientists and software engineers to integrate AI solutions into existing ... Strong background in programming languages like Python, Java, or C++ * Experience with big data ...

Machine Learning with Python Development

Richmond, VA · On-site

$49.75 - $68.75/hr

... data structures, SQL, experience with Hadoop stack Exposure/experience in NLP is preferable ... Requires bachelor's degree in a highly quantitative field (Computer Science, Machine Learning ...

AI Engineer

VA · On-site

Collaborate with data scientists and software engineers to integrate AI solutions into existing ... Strong background in programming languages like Python, Java, or C++ * Experience with big data ...

Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Collaborate with data scientists, analysts, and product teams to understand data requirements ... Python (PySpark) and/or Scala Experience building batch and streaming ETL pipelines Strong SQL ...

AWS Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Bachelor's degree in Computer Science, Engineering, or related field. * Demonstrated expertise in developing data pipelines with Python and PySpark, with a strong emphasis on utilizing AWS Glue, EMR ...

Senior Data Analyst- Card Data

Richmond, VA · On-site

$85K - $107K/yr

Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in various forms (data ...

Senior Data Analyst- Card Data

Richmond, VA · On-site

$85K - $107K/yr

Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in various forms (data ...

Collaborate with senior engineers and data scientists to design, build, and deploy AI solutions ... Experience with programming languages such as Python, Java, or C++. * Familiarity with machine ...

Computer Science, Data Science, Engineering, Information Systems, or related field Technical Skills * Proficiency in Python (required) * Familiarity with APIs, data handling (JSON, CSV), and basic ...

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Entry Level Python Data Science information

See Richmond, VA salary details

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$58

$85

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

As of Jun 9, 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 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:
Senior Data Scientist, Customer Conversion

Senior Data Scientist, Customer Conversion

Carmax

Richmond, VA

Full-time

Posted 27 days ago


CarMax rating

8.0

Company rating: 8.0 out of 10

Based on 366 frontline employees who took The Breakroom Quiz

26th of 713 rated retailers


Job description

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220CarMax, the way your career should be! 

About this job

Over twenty years ago, CarMax disrupted the automotive industry and to this day remains the undisputed market leader in a $500B+ industry. With best-in-class financial performance, customer satisfaction, and associate engagement, CarMax is well positioned for continued growth. With this growth, we strive to maintain our analytics-based competitive advantage through our algorithm driven pricing and inventory systems. To do so, we’re currently looking for experienced analysts who are looking to apply their passion for strategic thinking to drive business-critical decisions.

About The Team

The Customer Conversion Data Science team builds and maintains ML and AI solutions that help CarMax customers navigate and complete their buying journey — efficiently, effectively, and with the best possible experience. Our algorithms are backed by best-in-industry data collected from millions of vehicles purchased and sold by CarMax and millions of consumers as they shopped. These algorithms power intelligent customer communications, AI-driven support experiences, and smarter operational strategies across our customer experience centers and stores. We partner directly with Product and Operations teams to design, evaluate, and deploy responsible, well-managed ML & AI capabilities that create measurable business impact.

About The Role

At the heart of this role is a deep curiosity about how AI and ML can meaningfully improve both customer and associate experiences and CarMax's operational effectiveness. You'll develop and maintain ML models and analytical frameworks that directly influence how customers interact with CarMax — whether through AI-assisted support, intelligent routing, or personalized digital experiences. You'll serve as a subject matter expert on model evaluation, experimental design, and advanced analytics, helping the team and our Product partners make better, faster, evidence-based decisions. If you're energized by applying ML to real business problems and thrive at the intersection of data science and product partnership, this role is for you.

What you will do – Essential Responsibilities

· Leverage CarMax’s machine learning cloud environment to design & develop algorithms (e.g. statistical models, machine learning, artificial intelligence) that will directly impact critical areas of the CarMax business, including the customer experience

· Partner with software engineers to deploy and maintain algorithms

· Assess performance of production models and identify & act on opportunities for improvement

· Partner with teams across CarMax to explore new use cases for algorithms and bring new customer experiences to life

· Design tests and develop strategies to collect data needed to improve algorithm performance and produce iconic data-driven experiences for CarMax customers

Qualifications and Requirements

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

· 1-2 years of experience in the following areas

o Developing and maintaining ML/AI models in a business setting

o Evaluating and assessing model performance (of traditional ML algos and/or AI systems)

o Designing and analyzing statistical tests

o Python, SQL, and other languages appropriate for large scale analysis of numerical and textual data

· Experience in developing or applying knowledge of model interpretability, natural language processing, or large language models, is a plus

· Strong verbal and written communication skills with an ability to communicate complex concepts in simple terms & an ability to tie analytic results to business outcomes

· Strong results focus, project management, & teamwork

· Degree in Statistics, Data Science, or a related field

Work Location and Arrangement 

This role will be based out of the CarMax Technology Innovation Center (Richmond, VA) and associates will work onsite 4 days per week. 

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.


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