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Entry Level Data Science Jobs in Norfolk, VA (NOW HIRING)

The Health Data Analyst Intern supports the Commence Data team with entry-level analytic and data ... science, statistics, economics, or a related field. * Completed coursework in statistics, data ...

Requirements The Health Data Analyst Intern supports the Commence Data team with entry-level ... science, statistics, economics, or a related field. * Completed coursework in statistics, data ...

Environmental Scientist

Norfolk, VA ยท On-site

$32.69 - $35.10/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... to entry-level staff. This position will primarily be in an office environment. Key ... Ability to identify data discrepancies and manage resolution of corrections to full completion.

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

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Entry Level Data Science information

See Norfolk, VA salary details

$10

$18

$26

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

As of Aug 20, 2026, the average hourly pay for entry level data science in Norfolk, VA is $18.43, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $20.72 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

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 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 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 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.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no 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 and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Norfolk, VA?

The most popular types of Data Science jobs in Norfolk, VA are:

What are popular job titles related to Entry Level Data Science jobs in Norfolk, VA?

For Entry Level Data Science jobs in Norfolk, VA, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science jobs in Norfolk, VA look for?

The top searched job categories for Entry Level Data Science jobs in Norfolk, VA are:

What cities near Norfolk, VA are hiring for Entry Level Data Science jobs?

Cities near Norfolk, VA with the most Entry Level Data Science job openings:

Infographic showing various Entry Level Data Science job openings in Norfolk, VA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $38,343 per year, or $18.4 per hour.

Health Data Analyst Intern

Commence

Virginia Beach, VA โ€ข On-site

$20/hr

Part-time, Internship

Posted 8 days ago


Job description

Description:

At Commence, we’re the start of a new age of data-centric transformation, elevating health outcomes and powering better, more efficient process to program and patient health. We combine quality data-driven solutions that fuel answers, technology that advances performance, and clinical expertise that builds trust to create a more efficient path to quality care.


With human-centered, healthcare-relevant, and value-based solutions, we create new possibilities with data. We provide proof beyond the concept and performance beyond the scope with a focus on efficiencies that transform the lives of those we serve. With a culture driven by purpose, straightforward communication and clinical domain expertise, Commence cuts straight to better care.?

Requirements:

The Health Data Analyst Intern supports the Commence Data team with entry-level analytic and data quality work in a supervised, learning-focused role. Working under the direction of a Data team manager, the intern assists with data profiling, quality checks, documentation, and descriptive reporting that support Commence’s healthcare data programs.

This is a part-time, temporary internship for one academic semester. It is designed to give the intern practical exposure to healthcare data in a regulated environment while contributing useful work to the team.


Specific assignments are defined with the supervising manager during onboarding and are tailored to team priorities and the intern’s academic background and interests. Depending on the projects active during the term, the intern may:

  • Assist with data profiling and quality checks on assigned datasets, such as completeness, value range, duplicate, and consistency reviews.
  • Write and run basic SQL queries or simple Python or R scripts against defined datasets under supervision.
  • Help prepare descriptive summary tables, counts, and simple charts from specifications provided by the team.
  • Contribute to data dictionary and documentation entries, including field definitions and known data issues.
  • Research and summarize reference material such as CMS quality measure specifications or program documentation.
  • Support a scoped analysis or documentation project and share a summary/ presentation of the results with the team.
  • Observe and participate in team working sessions to build familiarity with how healthcare data moves through Commence programs.
  • Take on other related assignments appropriate to the intern’s experience level.

Regardless of the assignments selected, the intern is expected to:

  • Complete all required onboarding, security awareness, and HIPAA privacy training prior to receiving data access.
  • Follow Commence data handling, privacy, and security policies at all times.
  • Perform assigned work under the direction and review of the supervising manager, and raise questions or data anomalies rather than resolving them independently.
  • Document work so that methods and results can be reviewed and reproduced by others.
  • Attend recurring check-ins and provide regular status updates to the supervising manager.
  • Maintain a consistent, agreed-upon schedule throughout the term.

Qualifications

  • Currently enrolled in an accredited undergraduate or graduate program in public health, health informatics, biostatistics, epidemiology, data science, statistics, economics, or a related field.
  • Completed coursework in statistics, data analysis, or database fundamentals.
  • Foundational proficiency in SQL and Microsoft Excel; introductory exposure to Python or R.
  • Clear written communication and demonstrated attention to detail; able to document work so that someone else can reproduce it.
  • Able to follow data handling, privacy, and security requirements, and to ask before acting when a requirement is unclear.
  • Legally authorized to work in the United States; must successfully complete a background check.

Preferred Qualifications

  • Familiarity with Medicare or Medicaid claims data, CMS programs, or healthcare quality measures.
  • Exposure to Databricks, Snowflake, Power BI, or Tableau.
  • Prior HIPAA or human subjects research training.
  • Coursework or a project involving health services research, health policy, or population health analytics.

Additional Requirements

  • The intern’s specific assignments, schedule, and scope of work are established with the supervising manager during onboarding and may be adjusted during the term by mutual agreement.
  • All work is performed using Commence-provided accounts and approved equipment. Company data may not be stored on personal devices or personal cloud accounts.
  • Access to protected health information, if required, is granted only after completion of HIPAA training and with documented, role-based approval.

Work Environment / Physical Demands

The work environment and physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


This is a remote position. Candidates must be able to sit, read, work on a computer, and watch a computer screen for extended periods of time. Occasionally required to stand, walk, use hands and fingers, kneel or crouch.


Commence is an equal employment opportunity employer. All personnel processes are merit-based and applied without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military and veteran status or any other characteristic protected by applicable law.


Commence is committed to providing equal employment opportunities to all applicants, including individuals with disabilities. If you require a reasonable accommodation to participate in the application process due to a disability, please contact Human Resources at (757) 306-4920 or hr@commence.ai. Please note that unless you are requesting an accommodation, all applications must be submitted through our online application system.