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Entry Level Data Scientist Jobs in Springfield, VA

Actalent

Entry Level Recruiter | Sales Trainee

Fairfax, VA · On-site

$50K - $60K/yr

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Actalent

Entry Level Recruiter | Sales Trainee

Fairfax, VA · On-site

$50K - $60K/yr

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Insilico Logix

QA Analyst - Entry Level

Herndon, VA · On-site

Created Test Data specification document for the application covering the associated interfaces ... Qualifications Bachelors/ Masters (Computer Science, Information Technology, Engineering, Finance ...

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All JobsData Scientist JobsEntry Level Data Scientist JobsEntry Level Data Scientist Jobs in Springfield, VA

Entry Level Data Scientist information

See Springfield, VA salary details

$48.3K

$173.3K

$255.8K

How much do entry level data scientist jobs pay per year?

As of Jul 15, 2026, the average yearly pay for entry level data scientist in Springfield, VA is $173,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,200.00 and $178,600.00 per year, depending on experience, location, and employer.

What Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

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, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

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

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

More about Entry Level Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Springfield, VA? The most popular types of Data Scientist jobs in Springfield, VA are:
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What job categories do people searching Entry Level Data Scientist jobs in Springfield, VA look for? The top searched job categories for Entry Level Data Scientist jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Entry Level Data Scientist jobs? Cities near Springfield, VA with the most Entry Level Data Scientist job openings:
Entry Level Data Scientist jobs near you
Maritime Data Exploitation Analyst II

Maritime Data Exploitation Analyst II

Oceaneering International, Inc.

Suitland, MD • On-site

Full-time

Re-posted 11 days ago

Oceaneering rating

6.8

Company rating: 6.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

325th of 430 rated machine equipment manufacturers

Job description


The Data Exploitation Analyst II is responsible for providing direct technical and analytical support to the OTECH Analysis Center, participating in all phases of ocean navigation data acquisition, processing, and reporting at a government customer site in the Washington, DC metropolitan area. The primary responsibilities of this role are to acquire, analyze, compile, evaluate, and review data for use in standard products, non-standard products, and/or data holdings in support of mission requirements.
Responsibilities
ESSENTIAL
  • Perform processing, analysis, evaluation, and exploitation of navigation, remote sensor, and shipboard instrumentation data collected from various deep ocean systems.
  • Conduct detailed analysis and evaluation of imagery collected from side scan sonar, bathymetric systems, video, and still photography cameras.
  • Evaluate and improve the accuracy of navigation data from vessels and underwater exploration vehicles through a combination of sensor analysis, operational analysis, and statistical error analysis.
  • Perform surface and sub-surface navigation track reconstruction and navigation system performance evaluation for a variety of U.S. Navy and commercial programs.
  • Use proprietary software, GIS-based systems, and other navigation processing software on Windows-based workstations to perform imaging enhancement, display, and analytical functions.
  • Operate sophisticated re-navigation processing systems, including the evaluation of statistical results.
  • Review mission-related data logs, worksheets, and reports to identify focal points for analysis and discover deficiencies in data collection systems.
  • Involved in all phases of the data lifecycle, including pre-mission support, data collection, analysis, evaluation, and report generation.
  • Prepare, acquire, enter, and edit navigation data; as enhanced data is identified, update and correct data sets to maintain configuration control and ensure precise data records.
  • Prepare formal written technical reports and deliver oral briefings to report analysis findings and conclusions to the customer.
  • Support program reviews and technical reviews of various documentation and deliverables.
  • Produce various ad-hoc documentation and deliverables as required.
  • Act as an individual contributor working under limited supervision, determining the best approach to work, with monitoring based on key objective check-ins.
  • Lead assignments for specific job functions or projects.
  • Lead entry-level individual contributors to ensure work is completed according to set standards and procedures.
  • Identify gaps in current analytical processes and develop new tools and procedures to meet customer needs.
  • Represent the organization and its customer by participating in meetings, panels, and committees within the Department of Defense, Department of the Navy, and the Intelligence Community.
  • Some travel is required. The candidate will be required to participate in at-sea exercises or data collection missions of various durations. Durations are normally between 15 and 30 days but can be as long as 120 days, with a normal annual requirement of 45-60 days.

ADDITIONAL
  • Schedule can be demanding throughout the year and work outside normal working hours from time to time should be anticipated.
  • Scheduled weekly hours: 40
  • Day shift, with occasional after hours and weekends (< 3%)
  • Additional duties as assigned.

Qualifications
REQUIRED
  • Must have 2-6 years of relevant experience with an Associate Degree in a Scientific, Mathematical or related field. Equivalent work experience may be considered in lieu of degree.
  • Background or experience with data analysis and/or data interpretation.
  • Background or experience with standard marine navigation practices and procedures.
  • Strong critical thinking skills.
  • Strong technical writing skills and verbal communication skills.
  • Must be able to prioritize tasks and work well in team settings as well as take independent direction, as needed.
  • Proficiency in Microsoft Office (including Microsoft Word, PowerPoint, and Excel) and image editing software such as Adobe Photoshop.
  • Ability to pass and maintain a maritime physical. Must take maritime safety training IAW the US coast guard guidelines and meet physical, dental, and regional immunization requirements.
  • Must have or be able to obtain a TS/SCI security clearance, be able to take/pass a polygraph, and be able to maintain both for the tenure of this position.
  • Position tenure ship is dependent completing the full security clearance application process successfully within 1-2 years of accepting the position.
  • Must have all required certifications and maintain for the tenure of this position.
  • Must be a U.S. Citizen.

DESIRED
  • Associate or Bachelor's degree in Oceanography, Underwater Archeology, or related field.
  • Navy/DoD Experience.
  • Background in GIS products (ESRI) and Side Look Sonars (SLS) processing.

  • Experience with Autonomous Underwater Vehicle (AUV), & Remotely Operated Vehicles (ROVs) and their support equipment.
  • Experience with SLS systems, Doppler Sonars, Navigation & underwater cameras equipment.
  • Knowledge of products like SonarWiz, Hypack and WinFrog.

Salary range for this position is $74,600 - $112,000.
About Us
Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, material handling, aerospace, science, and renewable energy industries.
Equal Opportunity Employer:
All qualified candidates will receive consideration for all positions without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, veteran status, disability, genetic information, or other non-merit factor.
About the Team
Oceaneering Aerospace and Defense Technologies (AdTech) delivers solutions that enable humans to work safely and effectively in harsh environments - from underwater to the outer reaches of space. Our innovative solutions support the development and application of practical, cost-effective systems that meet our customers' challenges - from routine to extreme. Our experience and expertise across multiple industries uniquely positions us as a leader in the government, space, and maritime services markets. Our products and services meet the rigorous demands of the complex environments in which they operate, delivering results without compromising safety or reliability.

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