ZipRecruiter

Log In

1

Python Data Scientist Jobs in Washington (NOW HIRING)

Citian

Transportation Data Scientist

Washington, DC · On-site

The ideal candidate will exhibit excellent knowledge of the data science and data engineering disciplines with transportation industry experience, including working with large datasets in a Python ...

Nalley Consulting

Data Scientist - Mid

Reston, VA · On-site

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 ...

Nalley Consulting

Data Scientist - Mid

Reston, VA · On-site

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 ...

Nalley Consulting

Data Scientist - Sr

Reston, VA · On-site

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 ...

Nalley Consulting

Data Scientist - Sr

Reston, VA · On-site

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 ...

NALLEY CONSULTING

Data Scientist - Mid

Reston, VA · On-site

... Python, R, or Java, to manipulate and analyze data • Demonstrated ability to work effectively ... science problems • Experience in the development of algorithms leveraging Python and SQL • ...

NALLEY CONSULTING

Data Scientist - Sr

Reston, VA · On-site

... Python, R, or Java, to manipulate and analyze data • Demonstrated ability to work effectively ... science problems • Experience in the development of algorithms leveraging Python and SQL • ...

NALLEY CONSULTING

Data Scientist - Sr

Reston, VA · On-site

... Python, R, or Java, to manipulate and analyze data • Demonstrated ability to work effectively ... science problems • Experience in the development of algorithms leveraging Python and SQL • ...

Virtualitics, Inc

Data Scientist

Washington, DC · On-site +1

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 ...

Spatial Front, Inc

Data Scientist

Arlington, VA · On-site

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. • ...

Spatial Front, Inc

Data Scientist

Arlington, VA · On-site

... 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. • ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Job Brief Python, Jupyter, AI Are you VIGILANT about your career? RealmOne definitely is! RealmOne ... We are seeking a Data Scientist to support the understanding, identification, and mapping of large ...

next page

Showing results 1-20

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 29, 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.

Transportation Data Scientist

Citian

Washington, DC • On-site

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Who You Are:

Citian is seeking a Transportation Data Scientist who will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning. The ideal candidate will exhibit excellent knowledge of the data science and data engineering disciplines with transportation industry experience, including working with large datasets in a Python/SQL environment. You have at least 3+ years of data science experience and NLP. You will collaborate with cross-functional teams to enhance our products and services, driving innovation and providing actionable intelligence to meet business goals. If you are passionate about data and are eager to contribute to the success of a startup, we would love to hear from you.

Responsibilities:

  • Model Development: Develop and optimize data science models to process, analyze, and extract information from varying data sources, particularly textual.
  • Machine Learning and AI: Apply machine learning and artificial intelligence techniques to build predictive and prescriptive models.
  • Data Preprocessing: Clean, preprocess, and transform large datasets to prepare them for analysis and model training.
  • Feature Engineering: Identify and engineer relevant features to enhance model performance and accuracy.
  • Model Deployment and Evaluation: Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models.
  • Collaboration: Work closely with cross-functional teams, including engineers, product managers, and domain experts, to understand business requirements and deliver data science solutions that meet those needs.
  • Research: Stay updated on the latest advancements in NLP and AI research and apply them to real-world problems as needed.
  • Embrace the startup mentality by wearing multiple hats and stepping outside traditional job roles as needed. Your versatility and willingness to take on diverse responsibilities will be key to our success in a dynamic and evolving landscape.

Qualifications:

  • Bachelor's in Computer Science, Data Science, or a related field
  • 3+ years of experience in machine learning, artificial intelligence, and data science ideally within the transportation industry
  • Strong knowledge of Python, SQL, Python data science libraries (Pandas, Numpy, Scikit-learn, etc.), and Python NLP libraries (NLTK, SpaCy, etc.)
  • Strong knowledge of machine learning techniques, NLP and AI algorithms
  • Experience working with geospatial data (SQL PostGIS, Python GeoPandas, ArcToolbox Deep Learning, etc.)
  • Experience with transformers and LLMs (HuggingFace, GPT, PyTorch, TensorFlow, etc.) and cloud infrastructure platforms such as Snowflake and AWS
  • Demonstrated ability to work in a collaborative team environment
  • Excellent communication and data storytelling skills
  • Strong problem-solving and analytical skills

Apply