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Data Science Assistant Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton

Data Scientist

Charlottesville, VA · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Booz Allen Hamilton

Data Scientist

Charlottesville, VA · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Maxar Technologies, Inc.

Data Scientist

Reston, VA · On-site

Contribute to end-to-end data science and data engineering workflows, from data preparation and ... Write clear, well-structured documentation of methods, assumptions, and results; assist with ...

SAIC

Data Scientist

Springfield, VA · On-site

... • Assist in supporting Policy Business Operations, including policy development, review, and coordination. Qualifications : Required : • A minimum of a Bachelor's Degree in Data Science ...

Maxar

Data Scientist

Reston, VA

Contribute to end-to-end data science and data engineering workflows, from data preparation and ... Assistingwith deployment and evaluation of internal LLM-enabled tools or assistants. * Collaborate ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

ARA

Junior Data Scientist

Alexandria, VA · On-site

Essential Functions: * Assist with processing, cleaning, and transforming structured and ... Bachelor's degree in data science, statistics, computer science, mathematics, or a related field ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data Science Assistants and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
What are the most commonly searched types of Data Science jobs in Virginia? The most popular types of Data Science jobs in Virginia are:
What are popular job titles related to Data Science Assistant jobs in Virginia? For Data Science Assistant jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Virginia look for? The top searched job categories for Data Science Assistant jobs in Virginia are:
Data Science Assistant jobs near you
Data Scientist

Data Scientist

Systems Planning and Analysis

Alexandria, VA • On-site

$105K - $125K/yr

Full-time

Medical, Life, Retirement

Posted 4 days ago

Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.
The Joint, Office of the Secretary of Defense, Interagency Division (JOID) provides expert support services to a range of customers spanning across the Department of Defense, Federal Civilian, and international markets. JOID provides a diverse portfolio of analytical and programmatic capabilities to help our customers make informed decisions on their most challenging issues.
Group W provides wargaming, warfare modeling and simulation, software development, data analytics, and operations research/system analysis support to the national security mission. As a leader in the fields of campaign, mission, and wargaming analysis we embrace the cycle of research paradigm, continually seeking to improve the multi-method application of tools, data, methods, and techniques to generate credible and resilient insights to inform decisions on the Department's most challenging issues spanning CONOPs, acquisitions, force structures, tactics, and strategies. Group W is the developer and maintainer of the Synthetic Theater Operations Research Model (STORM), the authoritative M&S tool accepted by the Joint Analytic Community for analysis of theater-level, multi-domain, joint warfare. Similarly, we developed and manage the Standard Wargame Integration and Facilitation Tool (SWIFT) for OSW as an adaptable environment to support joint force combatants' wargaming requirements.
We have an immediate need for a Data Scientist to provide onsite support in Alexandria, VA.
Responsibilities
The Data Scientist will develop analytic products and services using data science techniques in support of the OSW Cost Assessment and Program Evaluation (CAPE) Defense Analyst Support Hub (DASH). The analyst will function as a part of the DASH Data Science team. Will support the team in completing statistical analysis and creating data visualizations. Assist in developing analysis summary products for CAPE Study leads.
Qualifications
Required:
  • Bachelor's degree in mathematics, operations research, computer science, data science, or other STEM disciplines.
  • 3+ years of hands-on experience applying data science techniques such as statistical analysis, mathematical modeling, Data/Database Engineering, Machine Learning, and Visualization.
  • Secret clearance with the ability to secure a Top-Secret and SCI eligibility.
  • Able to work fully onsite based on client needs.

Desired:
  • 4+ years of hands-on experience with applying data science techniques.
  • Master's degree in mathematics, operations research, computer science, or other applicable STEM disciplines.
  • Programming competency in R, Python, or other languages suitable for managing and analyzing large datasets.
  • Operational experience in a military service or DoW environment.
  • Ability to work effectively as part of an integrated team and adept at interfacing with clients.

Pay Range Information
At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. Virginia, Pay Transparency Salary range: USD $105,000.00/Yr. - USD $125,000.00/Yr.

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