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

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Entry Level Data Science information

See Boydton, VA salary details

$10

$18

$25

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

As of Sep 1, 2026, the average hourly pay for entry level data science in Boydton, VA is $18.23, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $20.48 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 Boydton, VA?

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

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

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

Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Boydton, VA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $37,920 per year, or $18.2 per hour.

Molecular Scientist, Genomics

Henderson, NC

Mako Medical Laboratories
Health Care and Social Assistance • 1 - 5K employees
Learn more about Mako Medical Laboratoriesexternal

Full-time

Re-posted 11 days ago

Job description

About the Job

The Molecular Scientist, I position is an entry level position where the scientist will be responsible for the clinical laboratory testing for Genomics in Henderson. The tests involve DNA extraction, qPCR, and data analysis. The scientist will also have to utilize the LIMS system to process patient data and results. The position will focus on SARS-CoV-2 (COVID19) patient testing.   The scientist must be comfortable working with infectious materials and have experience handling biohazardous materials.  Proficiency with wet lab activities, computers, robotics, and sample tracking are critical to success.

A Day in the Life

  • Extracting DNA from Respiratory Samples
  • Performing quality control on DNA samples
  • Performing qPCR preparation and instrument runs
  • qPCR Data analysis
  • Monitoring positive and negative controls as part of quality control measures
  • Building sample batches within LIMS and resulting and verifying data
  • Maintaining inventory of reagents
  • Communicating with genomics supervisor on status of samples/batches
  • Instrument maintenance and laboratory cleaning
  • Accessioning samples if necessary
  • Working with genomics supervisor and accomplishing necessary assigned duties as needed

Requirements

  • Graduation from an accredited four year college in a relevant field; biology, chemistry, biochemistry, or genetics.
  • Experience in clinical diagnostics or molecular biology laboratory wet work is preferred but not required (1 to 2 years)
  • Extensive knowledge of the principles, theories and practices of molecular biology, specifically DNA extraction and qPCR
  • Specialized knowledge of and ability to use a full range of standard technical equipment, complex scientific apparatus, and automated techniques of analysis;
  • Extensive knowledge of laboratory safety practices and principles;
  • Aware of state and federal laws, rules, regulations, and policies concerning the program area (i.e. CLIA and CAP);
  • Ability to meet requirements for personnel certification as a technologist pursuant to the Clinical Laboratory Improvement Act (CLIA);
  • Ability to effectively communicate technical information both verbally and in writing and maintain productive working relationships;
  • Ability to satisfactorily participate in proficiency testing programs and recognize QA problems;
  • Ability to compile, analyze, evaluate, and prepare laboratory reports.
  • Eagerness to learn and work as part of a team
  • Positive attitude and willingness to help
  • Strong communication skills
  • Experience with Next Generation Sequencing (NGS) is a plus

Apply