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Entry Level Python Data Science Jobs in Washington, DC

... Python, or Scala. • Knowledge in building data science solutions using cloud data services. • Strong documentations skills. • Excellent interpersonal and communications skills, with strong ...

Data Scientist

Herndon, VA · On-site

$112K - $179K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Data Scientist

Reston, VA

$112K - $179K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

... 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 ...

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Data Scientist

Reston, VA

$112K - $179K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Required : • Experience with Java, Scala, and Python • Experience with Lucene, JEXL, SQL, JSON ... Data Science skills/background • Experience with AWS • Experience implementing ML systems • ...

... 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 ...

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Entry Level Python Data Science information

See Washington, DC salary details

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

As of Jun 16, 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, and why are they important?

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 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 91% Full Time, 1% Part Time, and 8% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $138,100 per year, or $66.4 per hour.

Data Scientist

Group Nine LLC

Arlington, VA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
Group Nine LLC is seeking a Data Scientist to develop and maintain data analytics solutions and machine learning algorithms. The role involves mentoring junior data scientists, enhancing the data science lifecycle, and contributing to strategic discussions.
Responsibilities:
• Develop & maintain data analytics solutions and machine learning algorithms.
• Mentor junior data scientists.
• Further develop the data science lifecycle and best practices.
• Contribute to strategic discussions.
Qualifications:
Required:
• Must have at least 3 years' experience in their most recent position
• 7+ years of practical data science/data analytics experience.
• Master's degree (or PhD level) in Computer Science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
• Knowledge in cloud data analytics solutions, managing, developing, and maintaining machine learning solutions.
• Fundamental skills in data processing languages such as SQL, Python, or Scala.
• Knowledge in building data science solutions using cloud data services.
• Strong documentations skills.
• Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
• Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory.
• Experience using Databricks for machine learning algorithm development.
• Experience in coding languages primarily PySpark, Python, and SQL.
Company:
Group Nine LLC provides staffing solutions for companies seeking top talent. Founded in 2010, the company is headquartered in Farmington Hills, Michigan, US, , with a team of 51-200 employees. The company is currently Growth Stage.