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Python Data Scientist Jobs in Washington (NOW HIRING)

Data Scientist LCAT: Sr Location: Pentagon Shift: No Required clearance: Active TS/SCI clearance ... Python and Tableau experience. * 7+ years of experience with data exploration, data cleaning, data ...

Data Scientist LCAT: Sr Location: Pentagon Shift: No Required clearance: Active TS/SCI clearance ... Python and Tableau experience. * 7+ years of experience with data exploration, data cleaning, data ...

Data Scientist LCAT: Mid Location: Reston, Virginia This position is contingent upon award ... Python and Tableau experience. * Experience with data exploration, data cleaning, data analysis ...

Data Scientist LCAT: Mid Location: Reston, Virginia This position is contingent upon award ... Python and Tableau experience. * Experience with data exploration, data cleaning, data analysis ...

Data Scientist LCAT: Senior Location: Reston, Virginia This position is contingent upon award ... Python and Tableau experience. * Experience with data exploration, data cleaning, data analysis ...

Data Scientist LCAT: Senior Location: Reston, Virginia This position is contingent upon award ... Python and Tableau experience. * Experience with data exploration, data cleaning, data analysis ...

Data Scientist (Hybrid) Data Engineer Columbia, MD Description We are looking for a talented Data ... Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine ...

Degree in Computer Science. * 3+ years of experience writing production ready code in Python. * 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, tensorflow, pytorch, matplotlib ...

... learning, Python, data visualization, LLMs, predictive modeling. • Must be a U.S. Citizen. • ... Preferred : • Experience applying data science to DoD or federal agency mission problems. • ...

Spatial Front, Inc. is seeking a Data Scientist to support our growing team. The ideal candidate ... learning, Python, data visualization, LLMs, predictive modeling. • Must be a U.S. Citizen. • ...

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 Scientist information

See Washington salary details

$42.5K

$139K

$222.6K

How much do python data scientist jobs pay per year?

As of Jul 8, 2026, the average yearly pay for python data scientist in Washington is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

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 advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, 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 industry, often complemented by knowledge of SQL and data management skills.

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

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What are the key skills and qualifications needed to thrive as a Python Data Scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.
What cities in Washington are hiring for Python Data Scientist jobs? Cities in Washington with the most Python Data Scientist job openings:
Infographic showing various Python Data Scientist job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Data Scientist - Sr

Nalley Consulting

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

Join the Nalley Consulting team as a Data Scientist in metro Washington, D.C.
Position:
Data Scientist
LCAT: Sr
Location: Pentagon 
Shift: No
Required clearance: Active TS/SCI clearance and CI poly
Required education: Bachelor's degree
Basic Qualifications:
  • Combining multiple date sources into GUI (graphic user interface) and visual and geographical displays.
  • Python and Tableau experience.
  • 7+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • 7+ years of 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
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree
Additional Qualifications / Nice to have:
  • 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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