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Python Data Scientist Jobs in Washington (NOW HIRING)

KDA Consulting Inc

Data Scientist

Herndon, 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

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 ...

Booz Allen Hamilton

Data Scientist

Washington, DC · On-site

Required : • 5+ years of experience using data science programming languages, such as Python or R • Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and ...

JS Consulting

Data Scientist

Washington, DC · On-site

Demonstrated experience programming with R/Python, Linux, and Spark in AWS cloud environment, or ... junior data scientists, in graphical, verbal, or written formats. * Demonstrated experience ...

Elder Research

Data Scientist

Arlington, VA

Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation * Explore, clean, and wrangle ...

Elder Research

Data Scientist

Arlington, VA · On-site

Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation * Explore, clean, and wrangle ...

ECS

Data Scientist

Springfield, VA · On-site

Everforth ECS is seeking a Data Scientist to work onsite at our Springfield, VA customer's office ... Experience using statistical programming languages such as Python to extract and manipulate data

Vantor

Data Scientist

Reston, VA · On-site

The Data Scientist role focuses on developing accurate, scalable data solutions that provide ... using Python, SQL, and ETL tools under established best practices. • Process and analyze ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

TRSS Data Scientists build and deliver ML/AIenabled capabilities for mission and operational ... Programming skills in multiple languages other than Python (Python is a minimum requirement ...

Core Interface

Data Scientist

Chantilly, VA · On-site

Proficiency in Python , R , or Scala and strong knowledge of data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy). * Experience with cloud platforms (AWS, Azure, or GCP ...

Closure Technologies

Data Scientist

Chantilly, VA

As a Data Scientist, you will focus on using advanced techniques to solve the Sponsor's most ... processes using Python and SQL * Ability to create reports and present findings based on ...

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 ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

... in Python. SQL proficiency: Candidates must have experience using SQL for data extraction ... Teams may include other Data Scientists or be cross-disciplinary and include Subject Matter Expert ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

You will complete data transformation and modeling using SQL and Python (Pandas, PySpark, or Polars ... The Level 3 Data Scientist shall possess the following capabilities: * Foundations: (Mathematical ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

You will complete data transformation and modeling using SQL and Python (Pandas, PySpark, or Polars ... The Level 3 Data Scientist shall possess the following capabilities: * Foundations: (Mathematical ...

Elder Research

Data Scientist

Arlington, VA

Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation * Explore, clean, and wrangle ...

Vantor

Data Scientist

Reston, VA · On-site

... using Python, SQL, and ETL tools under established best practices. • Process and analyze ... end-to-end data science and data engineering workflows, from data preparation and feature ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Washington

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 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

KDA Consulting Inc

Herndon, VA • On-site

Full-time

Re-posted 4 days ago

Job description

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support mission-critical programs within the Intelligence Community (IC). This role will focus on leveraging advanced analytics, machine learning, and artificial intelligence to extract insights from large, complex datasets and support data-driven decision-making.

The ideal candidate will have a strong foundation in statistical analysis, machine learning model development, and data visualization, along with the ability to translate complex findings into actionable insights for both technical and non-technical stakeholders.

Machine Learning & AI Development

  • Design, develop, and deploy machine learning models to solve complex mission problems
  • Build predictive and prescriptive analytics solutions to support operational and strategic decision-making
  • Evaluate model performance and continuously improve algorithms through testing and tuning

Data Analysis & Exploration

  • Analyze large, structured and unstructured datasets to identify trends, patterns, and anomalies
  • Perform data cleansing, feature engineering, and transformation to prepare data for modeling
  • Apply statistical techniques to validate hypotheses and support analytical findings

Data Visualization & Communication

  • Develop dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Python visualization libraries
  • Communicate insights and recommendations clearly to both technical teams and senior leadership
  • Translate complex analytical results into actionable business or mission outcomes

Model Deployment & Integration

  • Collaborate with data engineers and software developers to operationalize models into production environments
  • Integrate machine learning solutions into enterprise systems and workflows
  • Support cloud-based model deployment in environments such as AWS or Azure

Collaboration & Agile Delivery

  • Work closely with cross-functional teams including engineers, analysts, and mission stakeholders
  • Participate in Agile processes including sprint planning, stand-ups, and retrospectives
  • Contribute to continuous improvement of data science methodologies and processes

Requirements

Active TS/SCI W/ Polygraph Required.

Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience)

Strong experience in data science, machine learning, and statistical analysis

Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn

Experience analyzing and working with large-scale datasets

Strong understanding of statistical modeling, probability, and data analysis techniques

Experience with data visualization tools and communicating insights effectively

Strong problem-solving skills and ability to work in complex, mission-driven environments