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Data Science Phd Jobs in Washington (NOW HIRING)

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

Required : • 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) • ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You have 3+ years experience in a Data Science role (or 1+ with a PhD), including 2+ years experience with Python programming language (Intermediate-level or higher) * Technical * Experience with ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You have 3+ years experience in a Data Science role (or 1+ with a PhD), including 2+ years experience with Python programming language (Intermediate-level or higher) * Technical * Experience with ...

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Data Science Phd information

What are the key skills and qualifications needed to thrive as a data science PhD?

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

What are some common challenges faced by data science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

What is a data science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.

What are popular job titles related to Data Science Phd jobs in Washington?

For Data Science Phd jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Science Phd jobs in Washington look for?

The top searched job categories for Data Science Phd jobs in Washington are:

What cities in Washington are hiring for Data Science Phd jobs?

Cities in Washington with the most Data Science Phd job openings:

Data Science Phd jobs near you
Infographic showing various Data Science Phd job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist

VT Group (VTG)

Chantilly, VA • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
VT Group (VTG) is seeking a highly analytical and driven Data Scientist. The role involves analyzing large datasets to identify trends and insights, developing machine learning models, and collaborating with stakeholders to communicate findings effectively.
Responsibilities:
• 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
Qualifications:
Required:
• 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)
Company:
VTG delivers force modernization and digital transformation solutions that expand America’s competitive advantage in the modern battlespace. Founded in 1866, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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