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Data Science Entry Jobs in Washington (NOW HIRING)

GRVTY

Data Scientist - Senior

Falls Church, VA · On-site

What Impact You'll Have GRVTY is seeking a motivated and experienced Data Scientist to perform data ... Allow feedback entry and data analysis * Integrate with existing data management platforms

The Choice, Inc.

Data Coordinator

Washington, DC · On-site

$62K - $70K/yr

Conduct data entry, extraction, downloads, and basic statistical analysis. * Assist with preparing ... Science, Data Science, Mathematics, Research Methods, or another related quantitative field.

New

Geo Owl

Data Scientist (EO and SAR)

Springfield, VA · On-site

... Data Scientist to join their NGA Maven program. The role involves performing data analysis ... entry, and integrate with the existing Data Management Platform • Conduct analysis of overall ...

GRVTY

Data Scientist - Senior

Falls Church, VA · On-site

GRVTY is seeking a motivated and experienced Data Scientist to perform data analysis via ... Filter and visualize data geospatially Allow feedback entry and data analysis Integrate with ...

Dynanet Corporation

Sr. Data Scientist

Washington, DC · Hybrid

$160K - $180K/yr

Job Title: Sr. Data Scientist Job Type: Full-time Salary Range: $160,000 - $180,000 Location ... Experience with data platforms, data entry systems, or analytics tools; exposure to Palantir ...

ASHLIN Management Group, Inc.

Data Analyst

Bowie, MD · On-site

Develop data management programs and forms for data entry and maintenance by end-users * Document ... At least a Bachelor's Degree in Math, Probability & Statistics, or related data science field

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How much do data science entry jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for data science entry in Washington is $22.06, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.76 per hour, depending on experience, location, and employer.

How do I become a data scientist with no experience?

To become a data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

What types of projects can entry-level data scientists expect to work on, and how do these projects support team goals?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

What are Data Science Entry jobs?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.

What are the key skills and qualifications needed to thrive as an Entry-Level Data Scientist, and why are they important?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

What are entry-level data science jobs called?

Entry-level data science jobs are often called Data Analyst, Junior Data Scientist, or Data Science Intern positions. These roles typically require foundational skills in programming, statistics, and data visualization, and may involve using tools like Python, R, or SQL. They serve as starting points for building experience in data analysis and modeling.

Is 40 too late for data science?

Data science entry roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training programs.
What are popular job titles related to Data Science Entry jobs in Washington? For Data Science Entry jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Entry jobs in Washington look for? The top searched job categories for Data Science Entry jobs in Washington are:
What cities in Washington are hiring for Data Science Entry jobs? Cities in Washington with the most Data Science Entry job openings:
Data Science Entry jobs near you
Infographic showing various Data Science Entry job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $45,875 per year, or $22.1 per hour.

Data Scientist - Senior

GRVTY

Falls Church, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

What Impact You'll Have
GRVTY is seeking a motivated and experienced Data Scientist to perform data analysis via statistical and quantitative methods, develop visualizations to support decision making, and build software to enable thorough monitoring and management of data pipeline tasks. The ideal candidate brings deep expertise in data systems and a passion for solving complex analytical problems in support of Machine Learning model development and operational intelligence missions. This role will help accelerate the implementation of the NGA Maven Data Strategy and drive cross-departmental collaboration to enhance workflows and deliver greater productivity across labeling and imagery curation efforts.
What You'll be Owning
  • Integrate emerging sensors and platforms into existing data pipelines and workflows, including:
    • Developing pipelines and relevant data structures for emerging capabilities
    • Incorporating new data types into existing data workflows
  • Assess potential differences in metadata, data format, and data structure characteristics regarding changes to:
    • Databases and schemas
    • APIs and other ETL-related processes
    • Ingestion and movement of data within the existing data operations pipelines
  • Conduct analysis of how emerging data impacts overall program data holdings from the perspective of:
    • Machine Learning model development
    • Test and evaluation use cases
    • Real-world operational use cases
  • Evaluate and recommend solutions for partitioning new data types into training, test, and validation splits for effective ML model development and performance evaluation
  • Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems
  • Lead projects using advanced mathematical, statistical, and scientific techniques to:
    • Examine complex mission and operational problems
    • Create insights from data
  • Build web scraping algorithms for imagery curation in accordance with customer data priorities
  • Integrate multiple data and intelligence sources in various formats for imagery curation to address gaps and meet project priorities
  • Support data analytics, data cleansing, analyst workflow efficiencies, and ETL transformation capabilities
  • Utilize statistical and analytic methods to support answering intelligence requirements and mission objectives
  • Build and integrate analytic tools and algorithms for imagery curation, acquisition, and chipping
  • Design methods and mechanisms to track, report, and monitor mission-specific objectives to maintain custody of training data priorities
  • Build software tools to manage labeling campaigns, including:
    • Tracking unlabeled and labeled data and campaign status
    • Transferring label task information via API-based movement between platforms
  • Build software tools to:
    • Filter and visualize data geospatially
    • Allow feedback entry and data analysis
    • Integrate with existing data management platforms
  • Conduct analysis of overall data holdings to support development of performant AI/ML models satisfying operational user requirements
  • Evaluate, monitor, and provide recommendations on training, test, and validation data splits for effective model development and performance evaluation

What You Must Have
  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • Experience working with AI/ML technologies and data systems
  • Experience working with multiple file types including:
    • Geospatial file formats
    • JSON, XML, and related formats
  • 3+ years of experience in quantitative analysis and data operations, including:
    • Developing visualizations and processing complex data to create data-driven insights
    • Data manipulation and ETL procedures
    • Working knowledge of SQL and NoSQL database technologies
  • Development experience in Python and other languages for data cleaning and manipulation

What Would be Nice to Have
  • Experience applying Natural Language Processing (NLP) algorithms to extract data from documents
  • Experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting, along with data standardization best practices
  • Demonstrated expertise in math, statistics, and quantitative analysis, including analytic techniques such as classification, regression, clustering, data reduction, and causal modeling

Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.
Virginia Pay Range
$160,000-$190,000 USD
Why Choose GRVTY
The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world.
We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.
At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.
• Robust health plan including medical, dental, and vision
• Health Savings Account with company contribution
• Annual Paid Time Off and Paid Holidays
• Paid Parental Leave
• 401k with generous company match
• Training and Development Opportunities
• Award Programs
• Variety of Company Sponsored Events
EEO Statement
GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.
Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days.
Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov)
Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

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