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Python Data Scientist Jobs in Washington (NOW HIRING)

VTG

Data Scientist

Chantilly, VA

$105K - $215K/yr

Data Scientist I supports government and program teams by assisting with data analysis ... Familiarity with Python, R, SQL, or similar analytical tools * Familiarity with tools such as ...

VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Data Scientist I supports government and program teams by assisting with data analysis ... Familiarity with Python, R, SQL, or similar analytical tools * Familiarity with tools such as ...

Applied Information Sciences

Data Scientist

Washington, DC · Hybrid

$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 ...

iNovex Information Systems

Data Scientist

Annapolis, MD · On-site

$119K - $285K/yr

Job Brief Data Science, Python, Jupyter Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe in providing ...

VTG

Data Scientist

Chantilly, VA

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 ...

Analytic Services Inc

Data Scientist

Washington, DC · On-site

You will leverage data science, machine learning, and statistical techniques to analyze, model, and ... Write and maintain Python or R scripts, use SQL, manage and merge disparate data sources, and ...

VTG

Data Scientist

Mclean, VA · On-site

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 ...

VTG

Data Scientist

Herndon, VA · On-site

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 ...

VTG

Data Scientist

Mclean, VA · On-site

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 ...

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.

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

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 ...

KDA Consulting Inc

Data Scientist

Chantilly, VA · On-site

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 ...

KDA Consulting Inc

Data Scientist

Mclean, VA · On-site

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 ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

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 ...

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Python Data Scientist information

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$42.5K

$139K

$222.6K

How much do python data scientist jobs pay per year?

As of Jul 9, 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 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 job categories do people searching Python Data Scientist jobs in Washington look for? The top searched job categories for Python Data Scientist jobs in Washington are:
What cities in Washington are hiring for Python Data Scientist jobs? Cities in Washington with the most Python Data Scientist job openings:
Python Data Scientist jobs near you
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

Data Scientist

VTG

Chantilly, VA

$105K - $215K/yr

Full-time

Re-posted yesterday

Job description

Overview

VTG is looking for a Data Scientist in Chantilly, VA.  (Note: Contingent upon program award).

Data Scientist I supports government and program teams by assisting with data analysis, visualization, and reporting to inform mission, operational, and business decisions under senior supervision.

Data Scientist II independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership.

Data Scientist III independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership.


What will you do?

Data Scientist I

  • Support collection, cleaning, and preparation of structured and semistructured data
  • Assist with exploratory data analysis and basic statistical assessments
  • Develop simple dashboards, visualizations, and analytical summaries
  • Support documentation of data sources, assumptions, and methodologies
  • Participate in analytic working groups and technical discussions
  • Assist with maintaining data pipelines, scripts, and analysis artifacts
  • Support coordination between data engineers, analysts, and mission stakeholders

Data Scientist II

  • Analyze large and complex datasets to identify trends, patterns, and insights

  • Develop and apply statistical models or machine learning techniques as appropriate

  • Design and maintain dashboards, visualizations, and analytic products

  • Translate mission or business questions into analytic approaches and outputs

  • Validate data quality, assumptions, and model results

  • Present findings and recommendations to technical and nontechnical stakeholders

  • Support integration of analytics into operational or decisionsupport workflows

Data Scientist III

  • Analyze large and complex datasets to identify trends, patterns, and insights
  • Develop and apply statistical models or machine learning techniques as appropriate
  • Design and maintain dashboards, visualizations, and analytic products
  • Translate mission or business questions into analytic approaches and outputs
  • Validate data quality, assumptions, and model results
  • Present findings and recommendations to technical and nontechnical stakeholders
  • Support integration of analytics into operational or decisionsupport workflows

Do you have what it takes?
  • TS/SCI with Poly Required

Data Scientist I

  • 1-4 years of experience supporting data analysis or analytics projects
  • Familiarity with Python, R, SQL, or similar analytical tools
  • Familiarity with tools such as Jupyter, Tableau, Power BI, or similar
  • Basic understanding of statistics and data visualization
  • Strong analytical and communication skills
  • Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission, operational, or enterprise data sets, Familiarity with tools such as Jupyter, Tableau, Power BI, or similar

Data Scientist II

  • 5-9 years of experience in data analytics or data science roles
  • Strong proficiency with Python or R and SQL
  • Experience with statistical analysis, modeling, or machine learning techniques
  • Strong written and verbal communication skills
  • Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloudbased analytics environments, Experience with Agile delivery environments

Data Scientist III

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • 10+ years of experience in data analytics or data science roles
  • Strong proficiency with Python or R and SQL
  • Experience with statistical analysis, modeling, or machine learning techniques
  • Strong written and verbal communication skills
  • Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloudbased analytics environments, Experience with Agile delivery environments

Pay Range: VTG’s estimated starting pay range is $105,000 - $215,000 annually, which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range.

Qualifications:
  • TS/SCI with Poly Required

Data Scientist I

  • 1-4 years of experience supporting data analysis or analytics projects
  • Familiarity with Python, R, SQL, or similar analytical tools
  • Familiarity with tools such as Jupyter, Tableau, Power BI, or similar
  • Basic understanding of statistics and data visualization
  • Strong analytical and communication skills
  • Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission, operational, or enterprise data sets, Familiarity with tools such as Jupyter, Tableau, Power BI, or similar

Data Scientist II

  • 5-9 years of experience in data analytics or data science roles
  • Strong proficiency with Python or R and SQL
  • Experience with statistical analysis, modeling, or machine learning techniques
  • Strong written and verbal communication skills
  • Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloudbased analytics environments, Experience with Agile delivery environments

Data Scientist III

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • 10+ years of experience in data analytics or data science roles
  • Strong proficiency with Python or R and SQL
  • Experience with statistical analysis, modeling, or machine learning techniques
  • Strong written and verbal communication skills
  • Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloudbased analytics environments, Experience with Agile delivery environments
Education:UNAVAILABLEEmployment Type: FULL_TIME

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