ZipRecruiter

Log In

2

Full Time Data Scientist Machine Learning Jobs in Washington, DC

VTG

Data Scientist

Chantilly, VA · On-site

Develop, train, and validate machine learning and statistical models * Design and implement ... UNAVAILABLEEmployment Type: FULL_TIME

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

... modeling, machine learning, deep learning, data visualizations, and data management. • Depending on the specific position, data scientists may also need knowledge on other fields such as ...

VTG

Data Scientist

Herndon, VA

Develop, train, and validate machine learning and statistical models * Design and implement ... UNAVAILABLEEmployment Type: FULL_TIME

VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Data Scientist I supports government and program teams by assisting with data analysis ... Develop and apply statistical models or machine learning techniques as appropriate * Design and ...

RiVidium, Inc

Data Scientist- Senior

Quantico, VA · On-site

Full-Time/Part-Time Full-Time Description RiVidium Inc. is seeking a highly experienced Senior Data ... The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big ...

VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Develop and apply statistical models or machine learning techniques as appropriate * Design and ... UNAVAILABLEEmployment Type: FULL_TIME

RIVIDIUM

Data Scientist- Senior

Quantico, VA · On-site

The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big ... The Senior Data Scientist will lead end-to-end data science initiatives?from data collection and ...

VTG

Data Scientist

Mclean, VA · On-site

Develop and implement statistical models, predictive analytics, and machine learning algorithms ... UNAVAILABLEEmployment Type: FULL_TIME

SAIC

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... Hands-on practical experience with data analytics, machine learning, and statistical methods.

previous page

Showing results 41-60

All JobsData Scientist Machine Learning JobsFull Time Data Scientist Machine Learning JobsFull Time Data Scientist Machine Learning Jobs in Washington, DC

Full Time Data Scientist Machine Learning information

See Washington, DC salary details

$42.5K

$139K

$222.6K

How much do full time data scientist machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for full time data scientist machine learning in Washington, DC 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.

What does a full time data scientist specializing in machine learning do?

A Full Time Data Scientist specializing in Machine Learning is responsible for analyzing large datasets to discover patterns and insights, and for building, testing, and deploying machine learning models to solve business problems. They use statistical techniques, programming skills, and domain knowledge to turn raw data into actionable information. Their day-to-day tasks often include data cleaning, feature engineering, model selection, and performance evaluation. They also collaborate with other teams to integrate machine learning solutions into products or decision-making processes. This role typically requires proficiency in languages like Python or R, and familiarity with tools such as TensorFlow, scikit-learn, or PyTorch.

What are the key skills and qualifications needed to thrive as a full time data scientist specializing in machine learning?

To thrive as a Full Time Data Scientist Machine Learning, you need strong analytical skills, expertise in statistics, machine learning techniques, and a relevant degree in computer science, mathematics, or a related field. Proficiency with programming languages such as Python or R, experience with machine learning libraries like TensorFlow or scikit-learn, and familiarity with data visualization and big data platforms are typically required. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating with stakeholders and translating data insights into business value. These skills are crucial for developing robust models, interpreting complex data, and driving impactful, data-driven decisions within organizations.

What are some common challenges faced by full time data scientists specializing in machine learning, and how can they be addressed?

Full-time Data Scientists in Machine Learning often encounter challenges such as dealing with messy or incomplete data, tuning complex models for optimal performance, and effectively communicating technical insights to non-technical stakeholders. Addressing these challenges usually involves collaborating closely with data engineers to improve data quality, staying updated with the latest ML techniques, and developing strong communication skills to translate findings into actionable business strategies. Additionally, regular code reviews and participation in cross-functional meetings help ensure alignment and foster a supportive team environment.

What is the difference between Full Time Data Scientist Machine Learning vs Data Analyst?

AspectFull Time Data Scientist Machine LearningData Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related; proficiency in data visualization and SQL
Work EnvironmentDeveloping ML models, programming in Python/R, deploying algorithmsData cleaning, reporting, creating dashboards, analyzing datasets
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Full Time Data Scientist Machine Learning roles focus on building and deploying machine learning models, requiring advanced programming and statistical skills. Data Analysts primarily interpret data, generate reports, and support decision-making with less emphasis on ML techniques. Both roles are vital but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Washington, DC?

The most popular types of Data Scientist Machine Learning jobs in Washington, DC are:

Full Time Data Scientist Machine Learning jobs near you

Data Scientist

VTG

Chantilly, VA • On-site

Full-time

Re-posted 17 days ago

Job description

Overview

VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights.


What will you do?
  • Analyze large, complex datasets to identify trends, patterns, and actionable insights
  • Develop, train, and validate machine learning and statistical models
  • Design and implement experiments, including A/B testing and predictive analytics
  • Collaborate with data engineers and analysts to ensure data quality and accessibility
  • Communicate findings and recommendations to technical and non-technical stakeholders
  • Build data visualizations and dashboards to present insights effectively
  • Deploy and monitor machine learning models in production environments
  • Continuously improve model performance and accuracy
  • Stay current with emerging data science techniques, tools, and technologies

Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles)
  • 5+ years of experience in data science or a related field
  • Strong proficiency in programming languages such as Python or R
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Strong foundation in statistics, probability, and data analysis techniques
  • Experience with SQL and working with large datasets
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles)
  • 5+ years of experience in data science or a related field
  • Strong proficiency in programming languages such as Python or R
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Strong foundation in statistics, probability, and data analysis techniques
  • Experience with SQL and working with large datasets
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
Education:UNAVAILABLEEmployment Type: FULL_TIME

Apply