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Data Science Entry Jobs in Virginia (NOW HIRING)

Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability * BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant ...

... Entry on Duty (EOD) Suitability - 5+ years of experience in automation engineering, data ... Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant ...

... Entry on Duty (EOD) Suitability - 5+ years of experience in automation engineering, data ... Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant ...

Agile Decision Sciences LLC is looking for a Clinical Data Manager 4 to support our growing Center ... Test clinical trial databases and data entry screens assuring compliance with protocol and ...

Agile Decision Sciences LLC is looking for a Clinical Data Manager 4 to support our growing Center ... Test clinical trial databases and data entry screens assuring compliance with protocol and ...

Senior UI/UX Dev 117-014

Springfield, VA ยท 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 ...

Agile Decision Sciences LLC is looking for a Clinical Data Manager to support the growing team ... Test clinical trial databases and data entry screens assuring compliance with protocol and ...

Agile Decision Sciences LLC is looking for a Clinical Data Manager to support the growing team ... Test clinical trial databases and data entry screens assuring compliance with protocol and ...

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Data Science Entry information

See Virginia salary details

$10

$19

$28

How much do data science entry jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for data science entry in Virginia is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.68 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 cities in Virginia are hiring for Data Science Entry jobs? Cities in Virginia with the most Data Science Entry job openings:
Exploitation Specialist/Data Scientist support to MA VEN, EO and with Security Clearance

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

BTS Software Solutions

Springfield, VA โ€ข On-site

Other

Medical, Retirement, PTO

Posted 6 hours 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. Primary Location: Springfield, VA Secondary Locations: St. Louis, Missouri Clearance Requirement: TS/SCI, must be willing to take a CI Poly in the future What Youโ€™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 โ€ข 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 roleโ€™s responsibilities, the candidateโ€™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 Soldiersโ€™ 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 peopleโ€™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.