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Phd Data Scientist Jobs in Springfield, VA (NOW HIRING)

VTG

Data Scientist

Chantilly, VA

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

VTG

Data Scientist

Mclean, VA · On-site

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

VTG

Data Scientist

Herndon, VA

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

Voto Consulting LLC

Data Scientist

Arlington, VA · On-site

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 ...

New

VTG

Data Scientist

Chantilly, VA · On-site

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

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) • ...

DCCA

SME - Data Scientist

Mclean, VA · On-site

Responsibilities : • Experience with data science toolkits, data analytics and statistical ... years of experience • PhD + 2 years of experience • High School Diploma + 12 years of ...

Swayable

Research Data Scientist

Washington, DC · On-site

... PhD in data science, statistics, physics, mathematics, bioinformatics, computer science, or a related quantitative field. Company : Swayable is a creative testing platform that measures persuasion.

Elder Research

Data Scientist

Arlington, VA · On-site

Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling ...

JS Consulting

Data Scientist

Washington, DC · On-site

Job Title- Data Scientist Project Location - Onsite in Washington, District of Columbia Duration- 6+ months contract Visa- USC Must have PHD Minimum Qualifications: * Work or educational background ...

SAIC

Data Scientist

Mclean, VA

$240K - $280K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... PhD or JD and nine (9) years or more experience. * Demonstrated experience with ECL and HPCC (5 ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

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 ...

Cmu

Data Scientist

Arlington, VA · On-site

... PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience. * Willingness to complete modest travel to various ...

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All JobsPhd Data Scientist JobsPhd Data Scientist Jobs in Springfield, VA

Phd Data Scientist information

See Springfield, VA salary details

$48K

$172.4K

$254.3K

How much do phd data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for phd data scientist in Springfield, VA is $172,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,400.00 and $177,600.00 per year, depending on experience, location, and employer.

What is a PhD data scientist?

PhD Data Scientists are professionals who have earned a doctoral degree (PhD) in a relevant field, such as computer science, statistics, mathematics, or engineering, and work in roles focused on analyzing and interpreting complex data. They leverage advanced research skills, deep theoretical knowledge, and expertise in data modeling to solve challenging problems, build predictive models, and derive actionable insights for organizations. PhD Data Scientists often contribute to cutting-edge projects, publish research, and help bridge the gap between academic research and practical, real-world applications.

What is the difference between Phd Data Scientist vs Data Analyst?

AspectPhd Data ScientistData Analyst
Required CredentialsPhD or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in related field, often with certifications
Work EnvironmentResearch-focused, complex modeling, advanced analyticsBusiness reporting, data visualization, basic analysis
Employer & Industry UsageTech, academia, research institutions, large corporationsBusiness, marketing, finance, healthcare

Phd Data Scientists typically have advanced degrees and focus on complex modeling and research, while Data Analysts handle more straightforward data reporting and visualization tasks. Both roles are essential in data-driven organizations but differ in scope and expertise.

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

To thrive as a PhD Data Scientist, you need advanced expertise in statistics, machine learning, and data analysis, typically backed by a PhD in a quantitative field. Proficiency with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and familiarity with cloud platforms and version control systems are commonly required. Strong problem-solving skills, communication abilities, and the capacity to explain complex concepts to non-technical stakeholders are crucial soft skills. These skills and qualities are essential for extracting actionable insights from complex datasets and driving data-informed decision-making in organizations.

What are some common challenges PhD data scientists face when transitioning from academia to industry roles?

PhD Data Scientists often encounter challenges when moving from academia to industry, such as adapting to faster project timelines, prioritizing business impact over exploratory research, and communicating complex findings to non-technical stakeholders. In industry, there is a greater emphasis on collaborative teamwork and delivering actionable insights that align with organizational goals. Building skills in agile development, stakeholder engagement, and product-focused thinking can help smooth the transition and ensure success in a corporate environment.
What are popular job titles related to Phd Data Scientist jobs in Springfield, VA? For Phd Data Scientist jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Phd Data Scientist jobs in Springfield, VA look for? The top searched job categories for Phd Data Scientist jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Phd Data Scientist jobs? Cities near Springfield, VA with the most Phd Data Scientist job openings:
Phd Data Scientist jobs near you
Infographic showing various Phd Data Scientist job openings in Springfield, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $172,366 per year, or $82.9 per hour.

PhD Data Scientist

The Chronicle Of Higher Education, Inc.

Washington, DC • On-site

$85 - $115/hr

Other

Posted 3 days ago

New

Job description

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands‑on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

The Work:
  • Analyze & Innovate: Uncover trends and anomalies, turning raw data into strategic intelligence.
  • Model & Predict: Develop and maintain models using machine learning, AI, and statistical techniques.
  • Code & Transform: Use Python (pandas, PySpark) and SQL for data parsing, ETL, and complex analysis.
  • Visualize & Communicate: Create interactive dashboards and visualizations with Power BI, Tableau, or Databricks.
  • Collaborate & Build: Partner with Data Engineers to define data requirements and support development.
  • Explore & Experiment: Research and test new tools to solve challenging problems.
Here’s what you need:
  • Experience building NLP, LLM, or using GenAI tools (e.g. LoRA, LangChain, RAG, LLM Fine Tuning or PEFT)
  • Proficiency in Python (pandas, PySpark) and SQL
  • Hands‑on experience with data visualization tools like Power BI, Tableau, or Databricks
  • Strong quantitative and analytic abilities to analyze and validate data
  • Understanding of analytical model development and data‑driven decision‑making
  • Must be a US Citizen
Bonus points if you have:
  • Experience designing and implementing a custom Generative AI solution
  • Utilized PhD training in rigorous research methodologies to analyze and tackle challenging client problems from a distinctive and informed perspective
  • Experience working in a cloud environment (Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP))
  • Experience working with federal clients
  • Experience in a specific domain like Cybersecurity or Fraud Detection
  • Active Clearance
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