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Python Data Scientist Jobs in Washington (NOW HIRING)

Strong proficiency in programming languages such as Python or R * Experience with machine learning ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or ...

... with Python, R, SQL, or similar analytical tools • Familiarity with tools such as Jupyter ... Data Science, Statistics, Mathematics, Computer Science, or related field • 5-9 years of ...

Data Scientist

Alexandria, VA · On-site

$116K - $174K/yr

Must have hands-on experience with Python, Python DS Tech Stack (tensorflow, scikit-learn, pandas ... A certification in Data Science, AI, or another related certification is preferred, but not ...

Data Scientist

Bethesda, MD · On-site

$120 - $180/hr

Prepare, transform, and analyze large and complex datasets using SQL and Python in a Databricks ... Mentor junior analysts and data scientists in best practices for data science, forecasting, and ...

Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab * Demonstrated experience with ... Experience conveying complex data science insights to non-technical audiences * Specific experience ...

Data Scientist

Washington, DC · On-site

$120 - $160/hr

Use Python, Anaconda, and Jupyter notebooks for modeling and prototyping. * Collaborate with Data Engineers to integrate models with data pipelines . * Support data governance activities (tagging ...

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Dynamis is seeking a Data Scientist to support FinCEN's Global Investigations Division (GID). The ... The role requires a strong understanding of statistical modeling and machine learning using Python ...

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.

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... Programming skills in multiple languages other than Python (Python is a minimum requirement ...

Data Scientist

Falls Church, VA · On-site

$110 - $150/hr

Analytica is seeking a Data Scientist II to support a defense health mission-critical program. The ... Develop dashboards, visualizations, and analytic products using Python, Power BI, Tableau, or ...

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support ... Python visualization libraries • Communicate insights and recommendations clearly to both ...

Develop dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Python ... Contribute to continuous improvement of data science methodologies and processes Requirements ...

Data Scientist Location: Linthicum Heights, MD Work Schedule: Full-Time Clearance Required: Active ... Use Python as a primary language to process and analyze data to help determine whether resources ...

Develop dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Python ... Contribute to continuous improvement of data science methodologies and processes Requirements ...

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... Programming skills in multiple languages other than Python (Python is a minimum requirement ...

Dynamis is seeking a Data Scientist to support FinCEN's Global Investigations Division (GID). The ... The role requires a strong understanding of statistical modeling and machine learning using Python ...

Showing results 41-60

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 Aug 19, 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.

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.

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 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 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.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and big data can command higher salaries, often exceeding $150,000. Compensation may also include bonuses and stock options in some companies.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.

What are popular job titles related to Python Data Scientist jobs in Washington?

For Python Data Scientist jobs in Washington, the most frequently searched job titles are:

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 August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Full-time

Re-posted 7 days ago


Job description

Overview

VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights.


What will you do?
  • Analyze large, complex datasets to identify trends, patterns, and actionable insights
  • Develop, train, and validate machine learning and statistical models
  • Design and implement experiments, including A/B testing and predictive analytics
  • Collaborate with data engineers and analysts to ensure data quality and accessibility
  • Communicate findings and recommendations to technical and non-technical stakeholders
  • Build data visualizations and dashboards to present insights effectively
  • Deploy and monitor machine learning models in production environments
  • Continuously improve model performance and accuracy
  • Stay current with emerging data science techniques, tools, and technologies

Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles)
  • 5+ years of experience in data science or a related field
  • Strong proficiency in programming languages such as Python or R
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Strong foundation in statistics, probability, and data analysis techniques
  • Experience with SQL and working with large datasets
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles)
  • 5+ years of experience in data science or a related field
  • Strong proficiency in programming languages such as Python or R
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Strong foundation in statistics, probability, and data analysis techniques
  • Experience with SQL and working with large datasets
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
Education:UNAVAILABLEEmployment Type: FULL_TIME