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

Parsons is looking for an amazingly talented Senior Data Science Consultant to join our team! The ... Entry by designing the user interface and experience of a data collection platform. You will ...

... a strong entry point into technology. Companies need people who can transform raw data into ... We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts ...

Senior UI/UX Dev 117-014

Springfield, VA · On-site

$62.75 - $81.25/hr

Experience collaborating with data science teams and end users to develop, update and maintain web ... text entry * Connect Oracle databases and API's to read/write data. Cloud platform familiarity ...

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Data Engineer

Washington, DC · Remote

$98K - $128K/yr

... Entry Support Specialists. * Design, build, and maintain data pipelines, integrations, and ... Bachelor's degree in computer science, information systems, data science, or a related field from ...

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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.

Showing results 21-40

Entry Data Scientist information

See Springfield, VA salary details

$48.1K

$172.6K

$254.7K

How much do entry data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for entry data scientist in Springfield, VA is $172,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,600.00 and $177,800.00 per year, depending on experience, location, and employer.

What is an entry data scientist?

Entry Data Scientists are professionals at the beginning of their data science careers who use statistical analysis, programming, and data visualization to extract meaningful insights from data. They typically work with large datasets, clean and preprocess data, build and test models, and help solve business problems using data-driven approaches. Entry-level data scientists often collaborate with more experienced data scientists, engineers, and business stakeholders to support projects and improve decision-making processes. They usually have foundational knowledge in mathematics, statistics, and programming languages like Python or R.

Can you get an entry data scientist job with no experience?

Entry data scientist roles typically require some background in programming, statistics, or related fields, but candidates with no formal experience can improve their chances by completing relevant coursework, projects, or certifications in tools like Python, R, or SQL. Building a portfolio of data analysis projects and gaining familiarity with common data science environments can also help demonstrate skills to employers.

What are the key skills and qualifications needed to thrive as an entry data scientist, and why are they important?

To thrive as an Entry Data Scientist, you need a solid grasp of statistics, data analysis, and programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with tools such as SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills set successful candidates apart in this role. These competencies enable you to extract actionable insights from data and collaborate effectively with technical and non-technical stakeholders.

What is the difference between Entry Data Scientist vs Data Analyst?

AspectEntry Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Math, Statistics, or related field; strong Excel and data visualization skills
Work EnvironmentCollaborates with data science teams, develops models, and explores dataPrepares reports, interprets data, and supports decision-making
Industry UsageUsed in tech, finance, healthcare, and more for predictive modelingCommon across marketing, finance, and operations for reporting and analysis

Entry Data Scientists focus on building models and applying machine learning techniques, often requiring programming skills. Data Analysts primarily interpret data, create reports, and support business decisions. While both roles work with data, Entry Data Scientists tend to handle more technical tasks involving modeling, whereas Data Analysts focus on data interpretation and visualization.

What types of projects and responsibilities can an entry data scientist expect in their first year?

As an entry-level data scientist, you'll typically work on tasks such as cleaning and preprocessing data, building simple predictive models, and assisting with data visualization for reporting. You may collaborate closely with more experienced data scientists, data engineers, and business analysts to help frame business problems into analytical solutions. It's common to contribute to parts of larger projects, such as supporting feature engineering or testing model performance, while learning best practices in coding and data analysis. Over time, you may be given ownership of small projects, which helps build your expertise and prepares you for more complex assignments.

How to become an entry data scientist without experience?

To become an entry-level data scientist without experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers.
What are popular job titles related to Entry Data Scientist jobs in Springfield, VA? For Entry Data Scientist jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Entry Data Scientist jobs in Springfield, VA look for? The top searched job categories for Entry Data Scientist jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Entry Data Scientist jobs? Cities near Springfield, VA with the most Entry Data Scientist job openings:
Infographic showing various Entry Data Scientist job openings in Springfield, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $172,609 per year, or $83 per hour.

Exploitation Specialist/Data Scientist support to MA VEN, EO and with Security Clearance

BTS Software Solutions

Springfield, VA • On-site

$175K - $195K/yr

Other

Medical, Retirement, PTO

Re-posted 27 days ago


Job description

BTS Software Solutions is seeking a Senior Exploitation Specialist/Data Scientist support to MA VEN, EO and SAR to support Department of Defense IC missions at Springfield, VA. The Senior Exploitation Specialist/Data Scientist shall perform data analysis via statistical and quantitative methods, develop visualizations to support decision making, and develop software to enable thorough monitoring and management of data pipeline tasks. What You’ll Get to Do: Job Duties: * Integrate emerging sensors and platforms into existing Maven or Government directed data pipelines. These emerging sensors may still be going through their experimentation/pre-IOC (Initial Operating Capability) phase prior to final full operational status. With as much available information as possible on the emerging sensor, develop pipelines and relevant data structures to incorporate new sensor source into existing data workflows.
* Assess potential differences in metadata, data format, and data structure characteristics in regards to changes to databases, schemas, APis, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
* Conduct analysis of how the emerging sensor data impacts overall Maven data holdings from the perspective of Machine Leaming model development, test and evaluation use cases, and support for real-world operational use-cases
* Evaluate and recommend a solution for partitioning the emerging sensor's data into training, test, and validation splits for effective Machine Leaming model development and model 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. This position will help accelerate the implementation of the NGA Maven Data Strategy and crisis response to the community. Foster cross-departmental collaboration to enhance workflows and create efficiencies in data analysis and imagery curation that results in greater productivity and efficacy of labeling efforts • Lead projects using advanced mathematical, statistical, and scientific techniques and principles to examine complex missions and operational problems and create insights from data
* Build web scraping algorithms for imagery curation in accordance with NGA Maven data priorities
* Integrate multiple data and intelligence sources in various formats for imagery curation to address gaps and concerns to meet NGA Maven's priorities
* Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities
* Utilize statistical and analytic methods to support answering intelligence requirements and mission objectives
* Build and integrate analytic tools and algorithms for imagery curation for imagery acquisition and chipping
* Design methods and mechanisms to track, report, and monitor a set of mission specific objectives in order to maintain custody of NGA Maven training data priorities
* Build software tools to manage labeling campaigns that keep track of unlabeled and labeled data, status of labeling campaigns, and transfer label task information. Tool must support Application Programming Interface (API)-based movement of information between platforms.
* Build software tools to filter and visualize data geospatially, allow feedback entry, or allow analysis of data. Tool must integrate with existing data management platform
* Conduct analysis of overall Maven data holdings to support the development of performant Artificial Intelligence and Machine Learning models to satisfy operational user requirements
* Evaluate, monitor, and provide recommendations on ways to partition training, test, and validation splits for effective Machine Leaming model development and model performance evaluation
Required Skills: * Experience working with Al/ML technologies and data systems Experience working with multiple file types including geospatial file formats, JSON,XML, etc.
* 3+ years of experience doing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights. This should include experience with data manipulation, extract, transform, load (ETL) procedures, and a working knowledge of database technologies (SQL, NoSQL)
* Development experience in Python and other languages for data cleaning and manipulation
Desired Skills * 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. Experience with various analytic techniques such as classification, regression, clustering, data reduction, and causal modelling.
Pay Range: $175,000-$195,000
The BTS pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Our approach to crafting offers considers various factors to establish an equitable and competitive compensation package. These considerations include, but are not limited to, the extent and intricacy of the role’s responsibilities, the candidate’s educational background, their work experience, and the specific competencies crucial for success in the role. Company Overview: BTS Software Solutions is a Service-Disabled Veteran Owned Small Business who are community-focused innovators who transform ideas into technology to serve people. We recognize that innovation is only valuable when applied towards a needed solution. Technology has no value without the hard work to turn ideas into reality. Our roots are in helping save Soldiers’ lives through technology. We bring that ethos to serving our community. We create solutions that touch people's lives - products to communicate, to connect companies with customers, to stay informed, to save lives, and to enhance lives. We have a small company persona with a large company ethos and capabilities; we create elegant solutions for complex problems that will enrich people’s lives. We offer one of the best benefits packages in the industry: Competitive health benefits package, PTO, 401K matching and vested from day one to name just a few of our benefits and perks. BTS Software Solutions is an Equal Opportunity Employer (EOE). All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.