Data Scientist
Arlington, VA · On-site
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 ...
Data Scientist
Arlington, VA · On-site
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 ...
You have experience with clustering, classification, sentiment analysis, time series, and deep ... No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet ...
You have experience with clustering, classification, sentiment analysis, time series, and deep ... No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet ...
Data Scientist
Arlington, VA · On-site
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 ...
Data Scientist
Arlington, VA · On-site
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 ...
You have experience with clustering, classification, sentiment analysis, time series, and deep ... No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet ...
You have experience with clustering, classification, sentiment analysis, time series, and deep ... No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet ...
Data Scientist
Herndon, VA · On-site
Stay up-to-date with the latest advancements in data science techniques and technologies. Preferred Skills: * Strong mathematical and statistical skills. * Experience with machine learning algorithms ...
Data Scientist
Herndon, VA · On-site
Stay up-to-date with the latest advancements in data science techniques and technologies. Preferred Skills: * Strong mathematical and statistical skills. * Experience with machine learning algorithms ...
Data Scientist
Herndon, VA · On-site
Stay up-to-date with the latest advancements in data science techniques and technologies. Preferred Skills: * Strong mathematical and statistical skills. * Experience with machine learning algorithms ...
Data Scientist
Herndon, VA · On-site
Stay up-to-date with the latest advancements in data science techniques and technologies. Preferred Skills: * Strong mathematical and statistical skills. * Experience with machine learning algorithms ...
You have hands-on experience developing data science solutions using open-source tools and cloud ... No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet ...
You have hands-on experience developing data science solutions using open-source tools and cloud ... No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet ...
You have hands-on experience developing data science solutions using open-source tools and cloud ... No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet ...
You have hands-on experience developing data science solutions using open-source tools and cloud ... No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet ...
Data Scientist
Chantilly, VA · On-site
Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) Strong experience in data science, machine learning, and statistical ...
Quick apply
Data Scientist
Chantilly, VA · On-site
Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) Strong experience in data science, machine learning, and statistical ...
Data Scientist
Mclean, VA · On-site
Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) Strong experience in data science, machine learning, and statistical ...
Quick apply
Data Scientist
Mclean, VA · On-site
Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) Strong experience in data science, machine learning, and statistical ...
Data Scientist
Herndon, VA · On-site
Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) Strong experience in data science, machine learning, and statistical ...
Quick apply
Data Scientist
Herndon, VA · On-site
Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) Strong experience in data science, machine learning, and statistical ...
Data Scientist
Chantilly, VA · On-site
Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) Strong experience in data science, machine learning, and statistical ...
Data Scientist
Chantilly, VA · On-site
Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) Strong experience in data science, machine learning, and statistical ...
You have hands-on experience developing data science solutions using open-source tools and cloud ... No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet ...
You have hands-on experience developing data science solutions using open-source tools and cloud ... No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet ...
Data Scientist
Mclean, VA · Hybrid
Relevant experience can include some combination of: * Applied Research and Development: designing, testing, evaluating, and refining data science, machine learning, AI, or analytic approaches to ...
Data Scientist
Mclean, VA · Hybrid
Relevant experience can include some combination of: * Applied Research and Development: designing, testing, evaluating, and refining data science, machine learning, AI, or analytic approaches to ...
Data Scientist
Alexandria, VA · On-site
$143K - $187K/yr
Experience using data science best practices and advising executive leadership on data-driven strategic decisions. Experience refers to paid and unpaid experience, including volunteer work done ...
Data Scientist
Alexandria, VA · On-site
$143K - $187K/yr
Experience using data science best practices and advising executive leadership on data-driven strategic decisions. Experience refers to paid and unpaid experience, including volunteer work done ...
Data Scientist
Alexandria, VA · On-site
$143K/yr
Experience using data science best practices and advising executive leadership on data-driven strategic decisions. Experience refers to paid and unpaid experience, including volunteer work done ...
Data Scientist
Alexandria, VA · On-site
$143K/yr
Experience using data science best practices and advising executive leadership on data-driven strategic decisions. Experience refers to paid and unpaid experience, including volunteer work done ...
Senior Data Scientist
Chantilly, VA · On-site
$130K - $160K/yr
Responsibilities The Senior Data Science Analyst shall be able to demonstrate experience and expertise in the following: * Programming languages such as Python(inclusive of libraries that are used in ...
Senior Data Scientist
Chantilly, VA · On-site
$130K - $160K/yr
Responsibilities The Senior Data Science Analyst shall be able to demonstrate experience and expertise in the following: * Programming languages such as Python(inclusive of libraries that are used in ...
Pega CDH experience is preferred. Some examples of the work as it directly relates to GEM • ... no appetite at the time) • Establishing baseline KPIs • Creating the monitoring approach o ...
Pega CDH experience is preferred. Some examples of the work as it directly relates to GEM • ... no appetite at the time) • Establishing baseline KPIs • Creating the monitoring approach o ...
Pega CDH experience is preferred. Some examples of the work as it directly relates to GEM • ... no appetite at the time) • Establishing baseline KPIs • Creating the monitoring approach o ...
Pega CDH experience is preferred. Some examples of the work as it directly relates to GEM • ... no appetite at the time) • Establishing baseline KPIs • Creating the monitoring approach o ...
Data Scientist
Mclean, VA · On-site
Relevant experience can include some combination of: * Applied Research and Development: designing, testing, evaluating, and refining data science, machine learning, AI, or analytic approaches to ...
Data Scientist
Mclean, VA · On-site
Relevant experience can include some combination of: * Applied Research and Development: designing, testing, evaluating, and refining data science, machine learning, AI, or analytic approaches to ...
No Experience Data Science information
What is a no experience data science job?
'No Experience Data Science' jobs are entry-level positions in the field of data science that do not require prior professional experience. These roles are designed for recent graduates, career changers, or individuals looking to start a career in data science. They typically focus on foundational skills such as data cleaning, basic statistical analysis, and simple data visualization. Employers may provide training and mentorship to help new hires gain practical experience. Common job titles include Data Science Intern, Junior Data Analyst, or Data Science Trainee.
What entry-level tasks or projects can someone without experience expect in a data science role?
In an entry-level data science position, especially for those without prior experience, you can expect to start with foundational tasks such as data cleaning, exploratory data analysis, and assisting in data collection processes. You may also help maintain documentation, prepare data visualizations, and support more senior team members with basic statistical analysis or model evaluation. These responsibilities not only build your technical skills but also expose you to the real-world workflows and collaborative problem-solving typical of data science teams.
What key skills and qualifications are needed to succeed in an entry-level data science role with no prior experience, and why are they important?
To thrive in an entry-level Data Science role, foundational knowledge of statistics, programming (often in Python or R), and data analysis is essential, usually supported by a relevant degree or completion of online courses. Familiarity with tools such as Jupyter Notebooks, SQL databases, and introductory machine learning libraries like scikit-learn is typically expected. Curiosity, problem-solving abilities, and effective communication help newcomers stand out by enabling them to learn quickly and explain insights clearly. These skills and qualities are crucial for accurately analyzing data, collaborating with teams, and delivering actionable results as you build your experience.
What is the difference between No Experience Data Science vs Data Analyst?
| Aspect | No Experience Data Science | Data Analyst |
|---|---|---|
| Required Credentials | Entry-level, often no certifications needed | Often requires a degree in related field; certifications like Excel or SQL helpful |
| Work Environment | Startups, internships, or entry-level roles in tech or finance | Corporate offices, consulting firms, or government agencies |
| Industry Usage | Growing in tech, finance, healthcare, and marketing | Widely used across industries for data interpretation and reporting |
| Search & Comparison Intent | People seeking entry-level data roles with minimal experience | Individuals comparing entry-level data roles in analytics |
While No Experience Data Science roles focus on entry-level positions with minimal prior skills, Data Analysts typically require some foundational knowledge and relevant certifications. Both roles are common in various industries, but Data Analysts often have more defined responsibilities in data interpretation and reporting. Understanding these differences helps job seekers target the right roles based on their experience level and career goals.
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 No Experience Data Science jobs in Virginia?
For No Experience Data Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching No Experience Data Science jobs in Virginia look for?
The top searched job categories for No Experience Data Science jobs in Virginia are:
What cities in Virginia are hiring for No Experience Data Science jobs?
Cities in Virginia with the most No Experience Data Science job openings:
Full-time
Medical, Life, Retirement, PTO
Posted 6 days ago
ManTech rating
8.8
Based on 15 frontline employees who took The Breakroom Quiz
48th of 247 rated software companies
Job description
General information
Requisition #
R70218
Locations
USA-VA-Arlington
Posting Date
08/27/2026
Security Clearance Required
Public Trust/Suitability
Remote Type
Hybrid
Time Type
Full time
Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!
***This is for a future opportunity***
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:
Minimum Qualifications:
Preferred Qualifications:
Clearance Requirements:
Physical Requirements:
The projected compensation range for this position is $83,300.00-$139,800.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
MANTECH 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 MANTECH, please email us at careers@mantech.com and provide your name and contact information.
Requisition #
R70218
Locations
USA-VA-Arlington
Posting Date
08/27/2026
Security Clearance Required
Public Trust/Suitability
Remote Type
Hybrid
Time Type
Full time
Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!
***This is for a future opportunity***
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
The projected compensation range for this position is $83,300.00-$139,800.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
MANTECH 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 MANTECH, please email us at careers@mantech.com and provide your name and contact information.
About ManTech
Sourced by ZipRecruiter
Industry
It services
Company size
5,001 - 10,000 Employees
Headquarters location
Herndon, VA, US
Year founded
1968