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Python Data Science Jobs in Virginia (NOW HIRING)

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Experience with Python data science and visualization packages Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to ...

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Experience with Python data science and visualization packages Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with Python data science and visualization packages Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with Python data science and visualization packages Clearance : Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to ...

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Experience with Python data science and visualization packages Clearance : Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with Python data science and visualization packages Clearance : Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with Python data science and visualization packages Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with Python data science and visualization packages Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with Python data science and visualization packages Clearance : Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with Python data science and visualization packages Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to ...

Strong proficiency in Python and experience with modern data science and engineering frameworks. * Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or similar ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with Python data science and visualization packages Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with Python data science and visualization packages Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to ...

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Python Data Science information

See Virginia salary details

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$58

$85

How much do python data science jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for python data science in Virginia is $58.12, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, due to its extensive libraries such as Pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science field, often complemented by knowledge of SQL and data visualization tools.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
What are the most commonly searched types of Python Data Science jobs in Virginia? The most popular types of Python Data Science jobs in Virginia are:
What job categories do people searching Python Data Science jobs in Virginia look for? The top searched job categories for Python Data Science jobs in Virginia are:
Data Scientist/Data Engineer- Mid

Data Scientist/Data Engineer- Mid

Castalia Systems

Charlottesville, VA • On-site

Full-time

Re-posted 2 days ago


Job description

Job Summary:
Castalia Systems is a proven business partner providing mission critical solutions to the Federal Government. As a Data Scientist/Data Engineer, you will help clients find answers in their data to impact important missions by organizing and analyzing disparate data, and leading data engineering activities.
Responsibilities:
• Creating various ML-based tools or processes such as recommendation engines or automated lead scoring systems.
• Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
• Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and margining of disparate data sources, preferably through Python, or SQL; statistical analysis; and data mining algorithms.
• Should have prior experience with large data Multi-INT analytics, ML, and automated predicative analytics.
• Conducts data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
• Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
Qualifications:
Required:
• Bachelor’s degree or equivalent experience
• 3+ years of experience designing, developing, operating, and maintaining complex data applications
• 3+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases
• 3+ years of experience developing code for data manipulation, data analysis, or data modeling
• Experience creating and integrating code for retrieving, parsing, and processing data across multiple systems or applications
• Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms in support of specific mission goals
• Experience in the development of algorithms leveraging Python and SQL
• Experience with Python data science and visualization packages
• Experience with leading the development of solutions to complex problems
• Experience working within a TS environment with onsite development tools
• Experience with database administration or data analytics
• Experience with structured and unstructured data
• CompTIA Security+
Preferred:
• 12+ years of experience in Extract, Transform, and Load (ETL) processes
• 7+ years of experience designing, developing, operationalizing, and maintaining complex data applications
• 7+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases
• 7+ years of experience developing code for data manipulation, data analysis, or data modeling
• 3+ years of experience with AI and ML implementation and development
• Experience with DevSecOps tools, including GitHub
• Experience working within the Intel Community
• Experience with a cloud environment, including AWS, Microsoft Azure, or Google Cloud
• Experience with Streamlit, Tkinter
• Experience with Agile software development
Company:
Castalia Systems offers biometric, open source, all source, and signals for intelligence analysis in Florida. Founded in 2011, the company is headquartered in Tampa, USA, with a team of 51-200 employees. The company is currently Growth Stage.