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

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

Overview The Senior Data Scientist will support our customers initiatives by developing/maintaining ... Establishing and integrating large datasets, data entry , data conditioning and cleaning, data ...

ManTech International

Senior Data Scientist

Washington, DC · On-site

$148.20K - $263K/yr

MANTECH is seeking a motivated, career, and team-oriented Senior Data Scientist to support a DHS ... Must be able to obtain and maintain an ICE Entry on Duty (EOD) Suitability. Physical Requirements:

SynergisticIT

Entry Level Data Analyst

Sterling, VA · On-site

We need Data Science/Machine learning/Data Analyst and Java Full stack candidates Preferred SKILLS For Java /Full stack/Devops Positions Bachelors degree or Masters degree in Computer Science ...

IC-CAP LLC

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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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 May 28, 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 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 types of projects and responsibilities can an entry-level 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.

What are Entry Data Scientists?

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.

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 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:
Entry Data Scientist jobs near you
Senior Data Scientist

Senior Data Scientist

Tecolote Research

Chantilly, VA • On-site

Full-time

Posted 27 days ago

Job description

Overview
The Senior Data Scientist will support our customers initiatives by developing/maintaining/analyzing data sets in order to create models and determinate potential outcomes. The position is immediately available for qualified candidates with the appropriate clearance.
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 data science e.g. numpty, pandas, and scipy); R; Julia (dynamic programming language), or other programming languages.
  • The development of frameworks for creating and integrating machine learning models such as TensorFlow, Pytorch, Jupyter Notebook and or Apache Hadoop
  • The development and use of Visualizatin Tools to create interactive scientific graphing capabilities. These capabilities and experience can be a combination of tool familiarity exhibited with competency in Plotly, Tableau, PowerBI, Qlik, and/or Google Charts
  • Understanding of relevant statistical measures, development and evaluation of data sets.

Skills Required
The Senior Data Science Analyst shall apply the principles, theories and analytical methods of Data Science Analysis, which encompasses the following:
  • Tool and method development by using high-level modeling, machine learning techniques, and software languages
  • Hypothesis development and validation of budget and schedule sufficiency/achievability and risk parameters
  • Working with data visualization tools and creating data visualization concepts
  • Experience developing queries and reports, parsing and merging data from complex datasets
  • Establishing and integrating large datasets, data entry , data conditioning and cleaning, data mining and end-to-end database management
  • Developing customer-facing reporting tools to provide timely and accurate decision-support and information
  • Understanding of how data science enables cost estimating, IPM and cross program analysis for comprehensive, data driven methods and assessments.

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.

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