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Scientist Python Jobs in Henrico, VA (NOW HIRING)

Carmax

Sr. Data Scientist - Pricing Algorithms

Richmond, VA · On-site

$106K - $159K/yr

  • PTO

About The Team The Pricing team is a community of analysts, data scientists, and systems experts ... Python/SQL programming * Data cleaning and pre-processing * Statistical and probabilistic analysis ...

CarMax, Inc.

Senior Manager, Data Science

Richmond, VA · On-site

  • PTO

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Python or similar languages for large-scale data analysis * Machine learning, statistical modeling ...

Carmax

Senior Manager, Data Science

Richmond, VA

  • PTO

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Python or similar languages for large-scale data analysis * Machine learning, statistical modeling ...

Carmax, Inc.

Senior Manager, Data Science

Richmond, VA · On-site

  • PTO

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Python or similar languages for large-scale data analysis * Machine learning, statistical modeling ...

Carmax

Senior Manager, Data Science

Richmond, VA · On-site

$138K - $221K/yr

  • PTO

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Python or similar languages for large-scale data analysis * Machine learning, statistical modeling ...

Truist

Decision Scientist III

Richmond, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Python, SAS E-Miner), familiarity with data visualization and BI tools (Power BI, Qlik Sense or ... Science, or Engineering 2. 7+ years of experience in Banking, Finance, Decision/Data Science ...

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Showing results 41-60

All JobsScientist Python JobsScientist Python Jobs in Henrico, VA

Scientist Python information

See Henrico, VA salary details

$34K

$111.4K

$178.3K

How much do scientist python jobs pay per year?

As of Aug 18, 2026, the average yearly pay for scientist python in Henrico, VA is $111,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $123,400.00 per year, depending on experience, location, and employer.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

How does a Scientist Python typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

What are 10 careers related to Python?

A Python-focused scientist can pursue careers such as data scientist, machine learning engineer, data analyst, software developer, automation engineer, research scientist, bioinformatics specialist, quantitative analyst, AI engineer, and backend developer. These roles often require strong programming skills, knowledge of libraries like NumPy and Pandas, and experience with data analysis or software development environments.

Which scientist Python job is in demand?

Data scientist and machine learning engineer roles that require Python skills are currently in high demand across industries. These positions often seek proficiency in libraries like Pandas, NumPy, and TensorFlow, and may require experience with data analysis, modeling, and cloud platforms. Strong programming skills and relevant certifications can improve job prospects in this field.

What job categories do people searching Scientist Python jobs in Henrico, VA look for?

The top searched job categories for Scientist Python jobs in Henrico, VA are:

What cities near Henrico, VA are hiring for Scientist Python jobs?

Cities near Henrico, VA with the most Scientist Python job openings:

Scientist Python jobs near you
Infographic showing various Scientist Python job openings in Henrico, VA as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $111,399 per year, or $53.6 per hour.

Senior Manager, Data Science - US Card (Upmarket Segments)

Hobbsnews

Richmond, VA • On-site

$209 - $238.50/hr

Other

Posted 13 days ago

Job description

Senior Manager, Data Science – US Card (Upmarket Segments)

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting‑edge technology in 1988. Fast‑forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in data‑driven decision‑making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Role Description
  • Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver a product customers love.
  • Leverage a broad stack of technologies—including Python, Conda, AWS, H2O, Spark, and more—to reveal insights hidden within huge volumes of numeric and textual data.
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
The Ideal Candidate Is
  • Customer first. You love the process of analyzing and creating, and share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
  • Innovative. You continually research and evaluate emerging technologies and stay current on state‑of‑the‑art methods, technologies, and applications to apply them.
  • Creative. You thrive on bringing definition to big, undefined problems, love asking questions, and push hard to find answers. You’re not afraid to share a new idea.
  • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
  • Technical. You’re comfortable with open‑source languages and are passionate about developing further. You have hands‑on experience developing data science solutions using open‑source tools and cloud computing platforms.
  • Statistically‑minded. You have built, validated, and backtested models, interpreted a confusion matrix or a ROC curve, and have experience with clustering, classification, sentiment analysis, time series, and deep learning.
  • A data guru. “Big data” doesn’t faze you. You can retrieve, combine, and analyze data from a variety of sources and structures and know that understanding the data is key to great data science.
Basic Qualifications
  • Currently have, or are in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics.
    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics.
    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics.
  • At least 2 years of experience leveraging open‑source programming languages for large‑scale data analysis.
  • At least 2 years of experience working with machine learning.
  • At least 2 years of experience utilizing relational databases.
Preferred Qualifications
  • PhD in STEM (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics.
  • At least 1 year of experience working with AWS.
  • At least 1 year of experience managing people.
  • At least 5 years’ experience in Python, Scala, or R for large‑scale data analysis.
  • At least 5 years’ experience with machine learning.
Compensation and Benefits
  • Chicago, IL: $209,000 – $238,500 for Senior Manager, Data Science
  • McLean, VA: $229,900 – $262,400 for Senior Manager, Data Science
  • New York, NY: $250,800 – $286,200 for Senior Manager, Data Science
  • Richmond, VA: $209,000 – $238,500 for Senior Manager, Data Science

Benefits include a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being.

Work Authorization: Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Equal Opportunity Employer

Capital One is an equal‑opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws.

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