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Entry Level Data Science Jobs in High Point, NC (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Greensboro, NC

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Labcorp

Associate Chemist - Mass Spectrometry

Burlington, NC · On-site

$20.25 - $26.75/hr

Determine if data is acceptable or not and then upload results * Responsible for the verification ... Bachelor's degree in a Chemical or Biological science, Clinical Laboratory Science or Medical ...

Labcorp

Associate Chemist - Mass Spec

Burlington, NC · On-site

$20.25 - $26.75/hr

Determine if data is acceptable or not and then upload results * Responsible for the verification ... Bachelor's degree in a Chemical or Biological science, Clinical Laboratory Science or Medical ...

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Entry Level Data Science information

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$9

$16

$24

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

As of Jul 16, 2026, the average hourly pay for entry level data science in High Point, NC is $17.00, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $19.09 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

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.

How do I become a data scientist with no experience?

To become an entry-level data scientist 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, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

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.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in High Point, NC? The most popular types of Data Science jobs in High Point, NC are:
What are popular job titles related to Entry Level Data Science jobs in High Point, NC? For Entry Level Data Science jobs in High Point, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in High Point, NC look for? The top searched job categories for Entry Level Data Science jobs in High Point, NC are:
What cities near High Point, NC are hiring for Entry Level Data Science jobs? Cities near High Point, NC 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 High Point, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Hybrid job distribution, with an average salary of $35,357 per year, or $17 per hour.
Managed Services - BI Engineer - Senior Associate

Managed Services - BI Engineer - Senior Associate

Pwc

Greensboro, NC

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Managed Services - BI Engineer - Senior Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data and Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity.
In this role at PwC, you will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. You will respond effectively to diverse perspectives, using a broad range of tools and methodologies to generate new ideas and solve problems. Your critical thinking skills will help break down complex concepts, and you will develop a deeper understanding of the business context and how it is evolving. Upholding professional and technical standards, you will interpret data to inform insights and recommendations, contributing to the firm's overall business strategies.
Responsibilities
- Developing and implementing innovative business intelligence solutions to optimize client operations and enhance competitive advantage
- Leveraging advanced analytics techniques to drive strategic insights and informed decision-making for clients
- Managing and inspiring teams to deliver quality work while navigating complex situations
- Building and maintaining meaningful client relationships to anticipate and address their needs effectively
- Utilizing tools such as Oracle Business Intelligence and QlikView to enhance data visualization and reporting capabilities
- Analyzing complex data sets to inform insights and recommendations for business performance improvement
- Upholding professional and technical standards in all client engagements
- Collaborating with stakeholders to identify opportunities for continuous process improvement and data quality enhancement
- Applying critical thinking to break down complex concepts and develop a deeper understanding of the business context
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Utilizing Business Intelligence and Reporting Tools (BIRT) for data-driven insights
- Developing data pipelines and architecture for seamless data flow
- Excelling in Python and Java programming for advanced analytics
- Leveraging Oracle Business Intelligence (BI) for strategic decision-making
- Implementing QlikView and Spotfire for enhanced data visualization
- Embracing change and fostering creativity in complex environments

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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