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Python Data Science Jobs in Virginia (NOW HIRING)

Nalley Consulting

Data Scientist - Mid

Reston, VA · On-site

Requirements: * 4+ years of experience using programming languages, including Python, R, or Java, to manipulate and analyze data * Bachelor's degree in Computer Science, Mathematics, or relevant ...

Nalley Consulting

Data Scientist - Mid

Reston, VA · On-site

Requirements: * 4+ years of experience using programming languages, including Python, R, or Java, to manipulate and analyze data * Bachelor's degree in Computer Science, Mathematics, or relevant ...

Nalley Consulting

Data Scientist - Sr

Arlington, VA · On-site

Experience with Python data science and visualization packages * Experience with Excel MBA * Experience with AC2SP, R, GitHub, and Palantir * An active CI polygraph ABOUT NALLEY CONSULTING Nalley ...

Nalley Consulting

Data Scientist - Sr

Reston, VA · On-site

Requirements: * 4+ years of experience using programming languages, including Python, R, or Java, to manipulate and analyze data * Bachelor's degree in Computer Science, Mathematics, or relevant ...

Nalley Consulting

Data Scientist - Sr

Reston, VA · On-site

Requirements: * 4+ years of experience using programming languages, including Python, R, or Java, to manipulate and analyze data * Bachelor's degree in Computer Science, Mathematics, or relevant ...

Spatial Front, Inc

Data Scientist

Arlington, VA · On-site

... Science, or related field; Master's preferred. • 3 years of data analysis, 1 year of machine learning. • Demonstrated expertise in: statistical analysis, machine learning, Python, data ...

Spatial Front, Inc

Data Scientist

Arlington, VA · On-site

... Science, or related field; Master's preferred. • 3 years of data analysis, 1 year of machine learning. • Demonstrated expertise in: statistical analysis, machine learning, Python, data ...

Palnar

Sr. Python Data Engineer

Mclean, VA · On-site

Python, Java, Spark, SQL, Databricks, RESTful APIs, AWS Glue, ECS S3 The role is to continue to ... take the models built by our data science team and make them production ready and scalable.

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How much do python data science jobs pay per hour?

As of Jul 19, 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 are popular job titles related to Python Data Science jobs in Virginia? For Python Data Science jobs in Virginia, the most frequently searched job titles 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:
Python Data Science jobs near you

Data Scientist - Mid

Nalley Consulting

Reston, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 hours ago

Job description

Position: Data Scientist 
LCAT: Mid
Location: Reston, Virginia
This position is contingent upon award.
Required clearance: TS/SCI with willingness to take CI poly. Candidates with current CI poly taken within the past seven years will be prioritized.
Required experience: At least 5 years
Required education: Bachelor's degree in Computer Science, Mathematics, or relevant field and 5+ years relevant experience
Description
Nalley Consulting has an opportunity for an experienced Data Scientist to support on-going research and development efforts for functional characterization of WMD facilities and their associated design.
The successful candidate will:
  • Provide data science, machine learning, and artificial intelligence support.
  • Conduct data engineering tasks to integrate multiple APIs, and support process automation, data visualization, and application integration.
  • Develop tools to automate data analysis of large data sets.
Requirements:
  • 4+ years of experience using programming languages, including Python, R, or Java, to manipulate and analyze data
  • Bachelor’s degree in Computer Science, Mathematics, or relevant field
  • Demonstrated ability to work effectively within or lead a team of peers, as well as excellent interpersonal and communications skills
  • Ability to communicate highly technical analyses at a level comprehensible to laymen and senior-level government representatives
  • Ability to clearly express in writing technical analysis results
  • Combining multiple date sources into GUI (graphic user interface) and visual and geographical displays.
  • Python and Tableau experience.
  • Experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • Experience with analyzing structured and unstructured data sources
  • Experience with statistical and general-purpose programming languages for data analysis
  • Experience with developing predictive data models, quantitative analyses, and visualization of target data sources
  • Experience with leading the development of solutions to complex problems
  • Experience with natural language processing, text mining, or machine learning techniques
  • Experience implementing automation in processing, presenting, or manipulating data

Other desired skills:
  • Demonstrated ability writing ICD 203 and ICD 206-compliant finished intelligence production
  • 7+ years of experience in solving DoD data science problems
  • Experience in the development of algorithms leveraging Python and SQL
  • Experience with developing solutions incorporating Large Language Models
  • Experience with Python data science and visualization packages
  • Experience with Excel MBA
  • Experience with AC2SP, R, GitHub, and Palantir
  • An active CI polygraph

 

ABOUT NALLEY CONSULTING

Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states.

Nalley Consulting fringe benefits include:

  • Excellent medical, dental, and vision benefits
  • PTO
  • 11 paid federal holidays
  • Tuition assistance
  • Paid military-reserve leave
  • Paid parental leave for birth or adoption
  • 401k matching up to 5 percent of the base salary
  • Flex time
  • Company-paid short-term disability, long-term disability, and life insurance.

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