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Entry Level Python Data Science Jobs in Washington, DC

... data science, artificial intelligence or machine learning * Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab * Demonstrated experience with producing analytic insights from large ...

... major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.

... major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.

... Python or R. * Possesses knowledge and experience of advanced analytics and data storage.Demonstrated oral and written communication skills. * Knowledge of various data science applications and ...

... 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 ...

... 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 ...

... 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 ...

You will contribute across the full data science lifecycle, from problem formulation and data ... Prior programming experience, preferably in Python or R, including data exploration, feature ...

... 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 ...

... data science, artificial intelligence or machine learning * Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab * Demonstrated experience with producing analytic insights from large ...

... 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 ...

... 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 ...

... 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 ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

... data science, data analytics, research analytics, BI, or machine learning project experience. * Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

... data science, data analytics, research analytics, BI, or machine learning project experience. * Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar ...

Showing results 21-40

Entry Level Python Data Science information

See Washington, DC salary details

$14

$66

$97

How much do entry level python data science jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for entry level python data science in Washington, DC is $66.39, according to ZipRecruiter salary data. Most workers in this role earn between $54.71 and $75.43 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an entry level Python data scientist?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are popular job titles related to Entry Level Python Data Science jobs in Washington, DC? For Entry Level Python Data Science jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Washington, DC look for? The top searched job categories for Entry Level Python Data Science jobs in Washington, DC are:
Infographic showing various Entry Level Python Data Science job openings in Washington, DC as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $138,100 per year, or $66.4 per hour.

Data Scientist

VTG

Mclean, VA • On-site

Full-time

Re-posted 14 days ago


Job description

Overview

VTG is seeking a talented and experienced Data Scientist to join our dynamic and innovative team in Herndon, VA/Chantilly, VA.


What will you do?
  • Collect, clean, and analyze large, complex datasets from multiple sources.

  • Develop and implement statistical models, predictive analytics, and machine learning algorithms.

  • Design experiments and evaluate models to ensure accuracy, reliability, and scalability.

  • Translate data-driven findings into clear business insights and recommendations.

  • Collaborate with cross-functional teams (engineering, product, business stakeholders) to identify opportunities for data solutions.

  • Create dashboards, reports, and data visualizations to effectively communicate results.

  • Stay up to date on industry trends, tools, and best practices in data science and AI/ML.


Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required:

  • TS/SCI with Full Scope Polygraph
  • BS in a quantitative field (mathematics, data science, statistics)
  • At least 3 years of demonstrated experience directly relevant to analytics, quantitative analysis, data science, artificial intelligence or machine learning
  • Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab
  • Demonstrated experience with producing analytic insights from large scale data.
  • Demonstrated experience with quantitative analysis, machine learning, and statistical modeling.
  • Experience conveying complex data science insights to non-technical audiences
  • Specific experience with the Palantir Foundry/Gotham suite of tools

Desired:

  • Experience with telecommunications metadata and content analysis
  • Experience exploiting or deriving insights from SIGINT, computer network exploitation, or other technical collection
  • Prior counterintelligence experience
  • Specific interest in or experience with technical surveillance

This position is open for current and future openings.

Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required:

  • TS/SCI with Full Scope Polygraph
  • BS in a quantitative field (mathematics, data science, statistics)
  • At least 3 years of demonstrated experience directly relevant to analytics, quantitative analysis, data science, artificial intelligence or machine learning
  • Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab
  • Demonstrated experience with producing analytic insights from large scale data.
  • Demonstrated experience with quantitative analysis, machine learning, and statistical modeling.
  • Experience conveying complex data science insights to non-technical audiences
  • Specific experience with the Palantir Foundry/Gotham suite of tools

Desired:

  • Experience with telecommunications metadata and content analysis
  • Experience exploiting or deriving insights from SIGINT, computer network exploitation, or other technical collection
  • Prior counterintelligence experience
  • Specific interest in or experience with technical surveillance

This position is open for current and future openings.

Education:UNAVAILABLEEmployment Type: FULL_TIME