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Entry Data Scientist Jobs in Raleigh, NC (NOW HIRING)

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Entry-Level Research Associate

Chapel Hill, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Mathematics, science, computer science, or engineering teaching experience in formal or informal ... Data Entry and Management: Assisting with data tracking, storage, and cleaning, such as de ...

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Entry-Level Research Associate

Chapel Hill, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Mathematics, science, computer science, or engineering teaching experience in formal or informal ... Data Entry and Management: Assisting with data tracking, storage, and cleaning, such as de ...

We specialize in helping companies strategize, architect, implement and support scientific data ... Performs entry and edit of all relevant static data * Acts as liaison between internal laboratory ...

Research Technician

Durham, NC · On-site

$17.50 - $24/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Entry to Early Career) This entry-level to early-career research laboratory role offers hands-on training in operating an electron microscope, capturing and organizing scientific imaging data, and ...

Perform data management tasks, including data entry, validation, quality control, SOP development, and basic statistical or qualitative analysis. * Support scientific research efforts through ...

Lab Technician

Morrisville, NC · On-site

$17.75 - $23.50/hr

Accurate record-keeping using a laboratory notebook and structured digital data entry * Experience authoring or contributing to SOPs under scientific guidance Desired Soft Skills * Unwavering ...

Customer Service Specialist I

Morrisville, NC · On-site

$16 - $21/hr

  • Medical

  • Retirement

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding ... Use Trackwise system for entry and processing of Problem Resolutions, Corrective Actions, and CAPA'

We place people in manufacturing, warehousing, life sciences, and production across Central and ... Data Entry Clerks * Administrative Assistants * Customer Service Representatives * Receptionist ...

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Entry Data Scientist information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do entry data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry data scientist in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

What is an entry data scientist?

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 types of projects and responsibilities can an entry 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 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 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.

Can I get an entry data scientist job with no experience?

Entry data scientist roles typically require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is often preferred, candidates with relevant coursework, internships, or strong analytical skills can sometimes qualify for entry-level positions. Building a portfolio of projects and obtaining certifications can improve chances of securing such roles without formal work experience.

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

Entry data scientists can begin by building foundational skills in programming languages like Python or R, and learning data analysis and visualization tools such as SQL and Tableau. Gaining hands-on experience through online courses, tutorials, and personal projects helps demonstrate competence to employers. Earning certifications like those from Coursera or edX can also enhance credibility and improve job prospects.

What job categories do people searching Entry Data Scientist jobs in Raleigh, NC look for?

The top searched job categories for Entry Data Scientist jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Entry Data Scientist jobs?

Cities near Raleigh, NC with the most Entry Data Scientist job openings:

Infographic showing various Entry Data Scientist job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.

Entry-Level Research Associate

Horizon Research Inc.

Chapel Hill, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

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Job description

Entry-Level Research Associate

Location: Chapel Hill, NC

Position Type: This is a full-time, hybrid position with some in-office work required.

 

Overview

If you are passionate about STEM education and want to improve educational practice, we have an exciting opportunity for you. Horizon Research, Inc. (HRI), is a small firm located in Chapel Hill, North Carolina, specializing in research and evaluation work related to science, technology, engineering, and mathematics (STEM) education. HRI is currently seeking a motivated, detail-oriented individual to join our team as a full-time, entry-level Research Associate.

Minimum Qualifications

  • Educational Background: A bachelor’s degree in either (1) education with an emphasis in mathematics, science, computer science, or engineering, or (2) a mathematics, science, computer science or engineering-related discipline

·         Experience: Mathematics, science, computer science, or engineering teaching experience in formal or informal settings with students in any grades K­–12

  • Passion for Education: A genuine interest in education and a strong desire to make a positive impact in this field
  • Attention to Detail: Strong organizational skills and attention to detail to ensure accurate data collection and management
  • Analytical Thinking: Ability to think critically and analyze data to derive meaningful insights
  • Communication Skills: Excellent written and oral communication skills
  • Adaptability: Willingness to learn and adapt to new challenges and projects in a dynamic research environment

·         Computer Proficiency: Proficiency with word-processing, spreadsheet, and presentation programs (e.g., Word, Excel, Outlook, PowerPoint, Google Docs, Google Sheets, Google Slides), and video conferencing software (e.g., Zoom, Teams)

  • Work Skills: Balancing assignments on several projects to complete varied tasks on time, working effectively both independently and collaboratively

Preferred Qualifications

·         Formal mathematics, science, computer science, or engineering teaching experience at the elementary, middle, or high school level in the US

·         Experience using generative AI tools such as Copilot, ChatGPT, Claude, and Gemini ethically and productively

 

 

Essential Functions

The Research Associate will engage in a variety of research and evaluation tasks. Specific duties may include:

  1. Communication: Communicating both orally and in writing with research participants, including teachers, administrators, and college/university faculty and students
  2. Instrument Development: Assisting with instrument development, including observation protocols, interview protocols, surveys, and assessment items
  3. Data Collection: Assisting in the collection of quantitative and qualitative data through surveys, interviews, classroom observations, and other methods
  4. Data Entry and Management: Assisting with data tracking, storage, and cleaning, such as de-identifying open-ended survey responses; keeping accurate records of planned, scheduled, and completed data collection; and ensuring data are stored as expected for each project

5.      Data Analysis: Assisting with data analysis, including interview and survey data

  1. Report Writing: Writing data summaries, including summaries of observations, qualitative and/or quantitative survey data, and interviews
  2. Collaboration: Collaborating with team members to ensure smooth project execution and timely delivery of research outcomes

Physical Requirements

The candidate must be able to complete the following physical requirements with or without a reasonable accommodation:

·         Remain in a stationary position (sitting or standing)

·         Consistently operate a computer and other office productivity devices (e.g., copy machine, printer)

·         Communicate effectively, both orally and in writing

·         Travel by car and airplane, including overnight stays (typically 1–3 days in duration), as needed

Hours and Salary

This exempt position will require 40 hours of work per week, usually between 8:30 am and 5:00 pm Monday through Friday. This is a hybrid position with some in-office work required. Occasional work-related travel is required. Salary is dependent upon experience and qualifications.

Timeline

The position will start on September 1 or later (depending on the availability of funding).

Benefits

Benefits currently include paid sick and vacation time, health care coverage, Employee Assistance Program (EAP), basic life insurance, 401K with matching contributions, profit sharing, and retirement planning services.

Additional Information

HRI is an Equal Opportunity Employer and does not discriminate based on race, color, age, sex, religion, national origin, citizenship, marital status, veteran status, sexual orientation, gender identity or expression, disability, genetic information, or any other personal characteristics protected by law.

Candidates of all backgrounds who meet the criteria above are strongly encouraged to apply.

To Apply

Applications must include:

1.      A letter of interest that states the position you are applying for and your available start date

2.      A current résumé or curriculum vitae

These documents should be submitted to Gretchen Newman with the subject line “STEM Education Research Associate Position.” Review of applications will begin immediately and continue on a rolling basis.

Company Description

Horizon Research, Inc. (HRI) is a small private research firm in Chapel Hill, North Carolina. We specialize in research and evaluation related to science, technology, engineering, and mathematics (STEM) education. We currently have over 40 projects, divided between evaluations and research studies and spanning early childhood education through graduate school. Our staff have backgrounds in education, STEM (science, technology, engineering, and mathematics) disciplines, and social science research. HRI is committed to promoting justice, equity, diversity, and inclusion in all our work.