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Data Science Assistant Jobs in Virginia (NOW HIRING)

Cmu

Assistant Data Scientist

Arlington, VA

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: * BS in data science, machine learning, computer science, statistics, or ...

National Capitol Contracting (NCC)

Be Seen First

Data Scientist

Norfolk, VA · On-site

Analyze and streamline the processes and technology for using data to manage ship maintenance operations, and draw valuable insights from data through data science and business intelligence. * Assist ...

Analytic Services Inc

Data Scientist

Reston, VA · On-site

You will leverage data science, machine learning, and statistical techniques to analyze, model, and ... Developing OBI governance and tradecraft to assist DIA and other DIAAE organizations conducting OBI.

Venture Global LNG

Senior Data Scientist

Arlington, VA · On-site

... science technology stack and architecture. * Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization. * Assist in ...

Booz Allen Hamilton

Data Scientist

Charlottesville, VA

$77.50K - $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

$77.50K - $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 ...

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Data Science Assistant information

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.

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 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 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 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
Infographic showing various Data Science Assistant job openings in Virginia as of May 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution.

Data Scientist

Applied Information Sciences

Alexandria, VA • On-site

$94K - $141K/yr

Full-time

Posted 5 days ago

Job description

Why AIS?

When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

  • Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.

  • Continuous Learning: Access to resources, training, and mentorship to support your professional growth.

  • Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.

  • Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

Working@AIS
At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Data Scientist.

As your initial project assignment, you will support the unique needs of our client as a Data Scientist.

Project Summary

AIS supports a Federal customer providing program and administrative support, analyzing fraud complaints, conducting proactive analysis of data, and providing specialized investigative support for criminal investigators conducting fraud and corruption investigations throughout the US.

Key Responsibilities

  • Provide data science and advanced data analytics to support federal investigations.

  • Utilize data mining techniques to find patterns in large data sets

  • Develop prototype software to meet the needs of specific data analytical tasks.

  • Participate in strategic planning sessions with case agents, fraud analytical groups and task forces in an effort to identify fraud and corruption schemes affecting the department.

  • Provide expertise in investigations by providing data input to affidavits and subpoenas and recommending possible investigative steps to obtain additional data.

  • Compile and analyze large-scale complex data sets, records, investigative files, complaint data and open-source intelligence data, including witness testimony, seized evidence, subpoenaed records/data, business records, contract claims data, in an effort to develop actionable intelligence information to assist in the investigation of fraud cases.

  • Help analyze and build profiles/links to identify criminal networks, offenses, suspects, and trends related to complex fraud schemes and patterns.

  • Review and analyze various law enforcement, internal, financial, and procurement databases, and conduct open-source searches to obtain necessary records to support complex investigations and prosecutions.

  • Input researched and analyzed data into various professional products including analytical summaries, graphs, or charts, and power point presentations for law enforcement use, prosecutions.

  • Fully proficient in the use of data science and data analytics software, including but not limited to Python, SAS, Structured Query Language (SQL), i2 Analyst's Notebook, Tableau and Centrifuge.

Required For This Opportunity

  • Experience should be a minimum of three (3) years in a Data Science role.

  • Bachelor's Degree in computer science, computer engineering, data science, or directly related science or engineering field.

  • An Active Secret clearance.

Nice to Have Skills

  • Experience with Databricks

  • Experience with Apache Spark

  • Master's Degree in Computer Science, Computer Engineering, Data Science, or directly related science or engineering field.



At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member.

The targeted base salary range for this role is $94,000-$141,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.

We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.



Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.

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