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Entry Level Data Science Jobs in Springfield, VA

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QA Analyst - Entry Level

Herndon, VA

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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QA Analyst - Entry Level

Reston, VA

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

asrcfh

GIS Technician I - Entry Level

Arlington, VA

... Environmental Science). * Internship experience is a plus; * Coursework/ project or labs with ... This is a direct position in GIS data enhancement and maintenance using ESRI and custom GIS ...

asrcfh

GIS Technician I - Entry Level

Arlington, VA · On-site

... Environmental Science). * Internship experience is a plus; * Coursework/ project or labs with ... This is a direct position in GIS data enhancement and maintenance using ESRI and custom GIS ...

RealmOne

Technician - Entry

Chantilly, VA

Headquartered in Columbia, MD., RealmOne supplies advanced cybersecurity, data science and software engineering services and products to customers in the Government and commercial sectors. * RealmOne ...

HDR

Storage & Data Protection Engineer 1

Vienna, VA · On-site

Required : • Bachelor's degree in Information Technology, Computer Science, or related field; or ... concepts. • Entry-level VMware or storage-related certification. Company : HDR is an employee ...

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How much do entry level data science jobs pay per hour?

As of May 29, 2026, the average hourly pay for entry level data science in Springfield, VA is $19.90, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $22.36 per hour, depending on experience, location, and employer.

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 strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

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

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

What are the most commonly searched types of Data Science jobs in Springfield, VA? The most popular types of Data Science jobs in Springfield, VA are:
What are popular job titles related to Entry Level Data Science jobs in Springfield, VA? For Entry Level Data Science jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Springfield, VA look for? The top searched job categories for Entry Level Data Science jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Entry Level Data Science jobs? Cities near Springfield, VA with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Entry Level Civil / Water Resources Engineer

Entry Level Civil / Water Resources Engineer

Wood Plc

Chantilly, VA • On-site, Remote

Other

Posted 7 days ago

Job description

Overview / Responsibilities

Wood Environment & Infrastructure Solutions is currently seeking an Entry Level Civil / Water Resources Engineer to join our highly collaborative Mid-Atlantic Water team and learn to create dynamic solutions on a wide range of complex projects. This position offers potential for development in a great working environment and the opportunity to apply the latest technology to help our clients solve their most challenging problems.  Typical projects involve helping local, state and federal clients complete floodplain management, stormwater management and other watershed planning projects

Work Location:

Remote working is an option however candidate must be in commuting distance to our office in either DC or Philadelphia. 

Key Responsibilities:

  • Perform hydrologic and hydraulic modeling of riverine systems as part of the Risk Mapping, Assessment, and Planning (Risk MAP) program for the Federal Emergency Management Agency;
  • Support Field Investigations including the collection and analysis of data used to support hydrologic and hydraulic modeling;
  • Execute established procedures, perform of routine calculations and process GIS data necessary to support hydrologic and hydraulic modeling efforts;
  • Prepare floodplain and watershed studies in compliance with FEMA standards and specifications and assist with Quality Assurance and Quality Control for flood insurance study deliverables;
  • Evaluate flood mitigation and flood control projects and their effectiveness;
  • Execute GIS-based one dimensional and two dimensional flood risk modeling software application such as HEC-RAS, HEC-HMS, FLO-2D, and SWMM;
  • Efficiently work with ArcGIS software and extensions in support of flood risk modeling and mapping and other water resources project needs;
  • Support Stormwater and Green Infrastructure design projects and evaluate the feasibility of alternative design approaches, site conditions, and regulatory agency specifications or regulations;
  • Prepare project reports including engineering calculations, planning, and drafting technical engineering reports, research, and data entry; and
  • Work with a team of Water Resources Engineers and GIS specialists supporting various planning and water resources, flood risk management and environmental restoration projects
Skills / Qualifications

Required Qualifications:

  • Bachelor or Masters of Science in an accredited Civil Engineering Degree
  • Strong written and verbal communication skills in a team setting
  • Time management skills and self - motivated to continue learning

Preferred Qualifications:

  • Experience in hydraulic engineering, FEMA studies and stormwater management
  • Coursework in hydrology / hydraulics and other relevant subjects
  • Working knowledge of AutoCAD and Civil 3D
  • Experience with HEC-RAS, HEC-HMS, HEC-GeoRAS, EPA SWMM, HydroCAD, and ArcGIS
  • EIT certification
  • CFM certification
  • Experience with programming languages such as Python, C++, Java, and etc. a plus
  • Advanced GIS experience such as Model Builder, Python, and advanced analysis tools (Spatial & 3D Analyst) a plus
Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER

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