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Trainee Computer Data Scientist Jobs in Virginia

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

Bachelor's or Master's Degree in a technical field (e.g., data science, statistics, computer science, mathematics, engineering, physical/biological sciences, or geographic information systems (GIS ...

Bachelor's or Master's Degree in a technical field (e.g., data science, statistics, computer science, mathematics, physical/biological sciences, or geographic information systems (GIS), etc.). * At ...

Bachelor's or Master's Degree in a technical field (e.g., data science, statistics, computer science, mathematics, physical/biological sciences, or geographic information systems (GIS), etc.). * At ...

Preferred : • Master's degree in data science, computer science, statistics, engineering, or a related technical field. • Experience with cloud-based environments (e.g., AWS, Azure, or GCP) and ...

As a Data Scientist, you will focus on using advanced techniques to solve the Sponsor's most ... TS/SCI clearance with a polygraph Bachelor's degree in Computer Science Desired Skills * Experience ...

We're looking for an experienced Data Scientist or Senior Data Scientist to join one of our cross ... Strong quantitative background with Bachelor's degree in Physics, Computer Science, Math ...

Bachelors degree in Data Science, Statistics, Computer Science, or related field. * 2+ years of experience in data science or a related role. * Understanding of machine learning concepts and ...

Education/Experience: * 5+ years of experience as a Data Scientist, Data Engineer, ML Engineer, or Data Analyst and a Bachelor's Degree in Computer Programming, Science, Engineering, or a related ...

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 ...

Education/Experience: * 5+ years of experience as a Data Scientist, Data Engineer, ML Engineer, or Data Analyst and a Bachelor's Degree in Computer Programming, Science, Engineering, or a related ...

Bachelors degree in Data Science, Statistics, Computer Science, or related field. * 2+ years of experience in data science or a related role. * Understanding of machine learning concepts and ...

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 ...

Bachelors degree in Data Science, Statistics, Computer Science, or related field. * 2+ years of experience in data science or a related role. * Understanding of machine learning concepts and ...

We're looking for an experienced Data Scientist or Senior Data Scientist to join one of our cross ... Strong quantitative background with Bachelor's degree in Physics, Computer Science, Math ...

Doctoral degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field * Familiar with project management concepts and frameworks such as Agile ...

Showing results 21-40

Trainee Computer Data Scientist information

What is the difference between Trainee Computer Data Scientist vs Data Analyst?

AspectTrainee Computer Data ScientistData Analyst
Required CredentialsBasic programming, statistics, entry-level data science coursesData analysis, Excel, SQL, basic statistics
Work EnvironmentLearning-focused, entry-level projects, collaborative teamsData reporting, visualization, business insights
Industry UsageGrowing in tech, finance, healthcare sectorsWidespread across industries for business decision support

The Trainee Computer Data Scientist is an entry-level role focused on developing skills in data science, programming, and machine learning, often in a learning environment. In contrast, a Data Analyst primarily handles data reporting, visualization, and basic analysis to support business decisions. While both roles require some knowledge of statistics and data tools, the Data Scientist role emphasizes advanced data modeling and programming, whereas the Data Analyst role centers on interpreting data for insights.

What are the most commonly searched types of Computer Data Scientist jobs in Virginia? The most popular types of Computer Data Scientist jobs in Virginia are:
Data Scientist

Data Scientist

VTG

Chantilly, VA • On-site

Full-time

Posted 19 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)