ZipRecruiter

Log In

1

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

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 ...

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 ...

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 ...

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 ...

Elder Research

Data Scientist

Arlington, VA

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

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 ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site

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 ...

SAIC

Data Scientist

Chantilly, VA · On-site

PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of ... data science, machine learning (ML), or statistics. • Demonstrated high level of initiative ...

Elder Research

Data Scientist

Arlington, VA · On-site

$80 - $100/hr

Advanced degree (MS or PhD) in a relevant field (e.g., statistics, computer science, business, mathematics, analytics, data science, engineering, physics, social sciences, management information ...

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 ...

SAIC

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

ORA_ON_SITE Description  SAIC is hiring a Data Scientist to deliver Systems Engineering ... PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of ...

Battelle Memorial Institute

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

We are currently seeking a Data Scientist. This position is a full-time opportunity located in ... PhD in a relevant field with 3+ years of experience; or an equivalent combination of education and ...

Battelle

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

We are currently seeking a Data Scientist. This position is a full-time opportunity located in ... PhD in a relevant field with 3+ years of experience; or an equivalent combination of education and ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... PhD (or equivalent) in a related field can substitute four (4) years of experience. * Ability to ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... PhD (or equivalent) in a related field can substitute four (4) years of experience. * Ability to ...

SAIC

Data Scientist

Mclean, VA · On-site

$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 ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

A PhD degree may be substituted for up to three (3) years of relevant experience. * Demonstrates knowledge of data mining methods, databases, data visualization and machine learning. * Ability to ...

Leidos

Data Scientist

Springfield, VA

$92K - $166K/yr

Quantitative PhD. * Deep learning for data science. * 2+ programming languages, 2+ data visualization tools, 2+ cloud technologies. * Windows/Linux command line interface (CLI) experience.

previous pagenext page

Showing results 21-40

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 26, 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 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 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 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, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $172,366 per year, or $82.9 per hour.

Data Scientist

Arlington, VA • On-site

Elder Research
Computing Infrastructure Providers, Data Processing, Web Hosting • 51 - 200 employees
Learn more about Elder Researchexternal

Full-time

Re-posted 22 days ago

Job description

Data Scientist
General Information
Requisition # 713
Locations USA-VA-Arlington
Posting Date 06/12/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area.
As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.
Responsibilities include but are not limited to:
  • Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration
  • Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation
  • Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science�driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders
  • Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results
  • Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact
  • Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment
  • Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills

Minimum Qualifications:
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • 2-10+ years of experience in data science, analytics, or a related technical field
  • Experience using version control systems (e.g., Git) and collaborative development practices
  • Strong understanding of relational databases and SQL
  • Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone
  • Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges
  • Willingness to travel and work on-site at client locations as required by project needs

Preferred Qualifications:
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)
  • Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS
  • Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities
  • Experience with containerization and environment management (e.g., venv, conda)
  • Experience operating in secure or remote government environments, including use of bash and command-line tools

Clearance Requirements:
  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

Apply