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No Experience Data Science Jobs in Raleigh, NC (NOW HIRING)

Decision Scientist

Raleigh, NC · On-site

$118K - $178K/yr

Experience * 5+ years of experience in data science, advanced analytics, decision intelligence, or ... with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of ...

Bachelor's degree in Data Science, Computer Science, Statistics, Public Policy, or related field; Master's preferred. * 2+ years of hands-on experience with data analysis, AI modeling, or business ...

The ideal candidate has advanced Python proficiency, experience with OpenSearch or Solr, success ... Demonstrate senior-level Python proficiency and sound computer-science fundamentals. * Treat ...

New

The ideal candidate has advanced Python proficiency, experience with OpenSearch or Solr, success ... Demonstrate senior-level Python proficiency and sound computer-science fundamentals. * Treat ...

New

Principal Data Scientist I

Raleigh, NC · Hybrid

$118K - $219K/yr

Evaluation science (offline metrics, human-in-the-loop systems) * Cost-performance optimization ... Have experience in mentoring or training others , and acting as a subject matter expert to guide ...

Principal Data Scientist I

Raleigh, NC · On-site

$118K - $219K/yr

Evaluation science (offline metrics, human-in-the-loop systems) * Cost-performance optimization ... Have experience in mentoring or training others , and acting as a subject matter expert to guide ...

Principal Data Scientist I

Raleigh, NC · Hybrid

$118K - $219K/yr

Evaluation science (offline metrics, human-in-the-loop systems) * Cost-performance optimization ... Have experience in mentoring or training others , and acting as a subject matter expert to guide ...

Principal Data Scientist I

Raleigh, NC · On-site

$118K - $219K/yr

Evaluation science (offline metrics, human-in-the-loop systems) * Cost-performance optimization ... Have experience in mentoring or training others , and acting as a subject matter expert to guide ...

HOUSING DATA ANALYST

Chapel Hill, NC · On-site

$67K - $88K/yr

Bachelor's Degree in public policy, public administration, social sciences or a related field. Experience: 1 to 3 years of experience in public policy, public administration, data analysis, policy ...

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field (or equivalent experience). * 2+ years of professional experience in data, operations, or a related ...

Bachelor's degree in Computer Science,Data Science,Information Systems, or a related field * 5+years of experience inDevOps, MLOps,Data Engineering,Software Engineeringor Site Reliability Engineering

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field (or equivalent experience). * 2+ years of professional experience in data, operations, or a related ...

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field (or equivalent experience). * 2+ years of professional experience in data, operations, or a related ...

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field (or equivalent experience). * 2+ years of professional experience in data, operations, or a related ...

Showing results 41-60

No Experience Data Science information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do no experience data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for no experience data science in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What key skills and qualifications are needed to succeed in an entry-level data science role with no prior experience, and why are they important?

To thrive in an entry-level Data Science role, foundational knowledge of statistics, programming (often in Python or R), and data analysis is essential, usually supported by a relevant degree or completion of online courses. Familiarity with tools such as Jupyter Notebooks, SQL databases, and introductory machine learning libraries like scikit-learn is typically expected. Curiosity, problem-solving abilities, and effective communication help newcomers stand out by enabling them to learn quickly and explain insights clearly. These skills and qualities are crucial for accurately analyzing data, collaborating with teams, and delivering actionable results as you build your experience.

What is the difference between No Experience Data Science vs Data Analyst?

AspectNo Experience Data ScienceData Analyst
Required CredentialsEntry-level, often no certifications neededOften requires a degree in related field; certifications like Excel or SQL helpful
Work EnvironmentStartups, internships, or entry-level roles in tech or financeCorporate offices, consulting firms, or government agencies
Industry UsageGrowing in tech, finance, healthcare, and marketingWidely used across industries for data interpretation and reporting
Search & Comparison IntentPeople seeking entry-level data roles with minimal experienceIndividuals comparing entry-level data roles in analytics

While No Experience Data Science roles focus on entry-level positions with minimal prior skills, Data Analysts typically require some foundational knowledge and relevant certifications. Both roles are common in various industries, but Data Analysts often have more defined responsibilities in data interpretation and reporting. Understanding these differences helps job seekers target the right roles based on their experience level and career goals.

What entry-level tasks or projects can someone without experience expect in a data science role?

In an entry-level data science position, especially for those without prior experience, you can expect to start with foundational tasks such as data cleaning, exploratory data analysis, and assisting in data collection processes. You may also help maintain documentation, prepare data visualizations, and support more senior team members with basic statistical analysis or model evaluation. These responsibilities not only build your technical skills but also expose you to the real-world workflows and collaborative problem-solving typical of data science teams.

What is a no experience data science job?

'No Experience Data Science' jobs are entry-level positions in the field of data science that do not require prior professional experience. These roles are designed for recent graduates, career changers, or individuals looking to start a career in data science. They typically focus on foundational skills such as data cleaning, basic statistical analysis, and simple data visualization. Employers may provide training and mentorship to help new hires gain practical experience. Common job titles include Data Science Intern, Junior Data Analyst, or Data Science Trainee.
What are the most commonly searched types of Data Science jobs in Raleigh, NC? The most popular types of Data Science jobs in Raleigh, NC are:
What are popular job titles related to No Experience Data Science jobs in Raleigh, NC? For No Experience Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching No Experience Data Science jobs in Raleigh, NC look for? The top searched job categories for No Experience Data Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for No Experience Data Science jobs? Cities near Raleigh, NC with the most No Experience Data Science job openings:
Infographic showing various No Experience Data Science job openings in Raleigh, NC as of August 2026, with employment types broken down into 36% Full Time, 43% Part Time, 7% Temporary, and 14% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

$118K - $178K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Western Governors University rating

8.5

Company rating: 8.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

80th of 617 rated colleges and universities


Job description

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:

Grade: Technical 408 Pay Range: $118,900.00 - $178,500.00

Job Description

The Decision Scientist has a key role within the Experiential Product team and is responsible for developing decision models that support student experiences throughout the lifecycle. This role blends expertise in data science, behavioral/decision science, and data engineering to design, build, monitor, and continuously improve models within the decision intelligence system that trigger recommendations to students, staff, or faculty to drive actions that improve student success. The Decision Scientist collaborates closely with the decision intelligence product lead, technology lead, business SMEs, software and data engineering, ML Ops, and technology architects to build decision products that support personalized student progress and completion, drive automated solutions for operational efficiency and scale, and ensure that decisions are data-informed, equitable, and actionable.
What You'll DoBuild Intelligent Decision Systems
  • Design, develop, and deploy machine learning models that support key decision points throughout the student lifecycle.
  • Translate business goals, behavioral objectives, and operational requirements into scalable analytical and machine learning solutions.
  • Develop decision frameworks that incorporate inputs, alternatives, outcomes, and continuous feedback loops.
  • Apply advanced analytics, experimentation, and causal inference techniques to identify opportunities that improve student experiences and outcomes.
Partner Across the Organization
  • Collaborate with business stakeholders to understand critical decisions, success measures, and desired outcomes.
  • Partner closely with Data Engineering teams to build and maintain the data pipelines and workflows required to support production-ready models.
  • Communicate findings, recommendations, and model performance to both technical and non-technical audiences.
Operationalize and Scale Machine Learning
  • Deploy, monitor, retrain, and optimize machine learning models using modern MLOps best practices.
  • Ensure data inputs, outputs, and model dependencies are properly governed, monitored, and maintained.
  • Implement model monitoring processes to detect performance degradation, data drift, and operational issues.
  • Maintain high standards for model reliability, scalability, and production readiness.
Drive Transparency and Responsible AI
  • Create dashboards, reporting tools, and visualizations that make complex insights accessible and actionable.
  • Document model assumptions, methodologies, data dependencies, and feedback mechanisms to support transparency and reproducibility.
  • Ensure models are interpretable, auditable, and aligned with institutional commitments to fairness, accountability, and ethical use of AI.
Additional Responsibilities
  • Perform other duties as assigned.
What You'll BringRequired Knowledge, Skills, and Abilities
  • Strong expertise in machine learning, statistical modeling, and predictive analytics, including supervised and unsupervised learning techniques.
  • Experience selecting, evaluating, and optimizing machine learning models to solve real-world business problems.
  • Knowledge of modern MLOps practices, including model deployment, monitoring, retraining, CI/CD pipelines, and drift detection.
  • Experience developing and supporting data pipelines, including data ingestion, transformation, orchestration, and workflow automation.
  • Ability to model complex decision processes and connect decision outcomes to measurable business objectives.
  • Experience incorporating behavioral, operational, or customer-focused signals into analytical frameworks.
  • Proficiency in Python or R and hands-on experience with machine learning frameworks such as:
    • Scikit-learn
    • TensorFlow
    • PyTorch
  • Experience deploying machine learning solutions in cloud environments such as AWS, Azure, or Google Cloud Platform.
  • Proficiency with Git, GitHub, and collaborative software development practices.
  • Excellent communication, collaboration, and stakeholder management skills.
  • Experience in higher education, student success, healthcare, or another mission-driven environment is preferred.
Education
  • Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Behavioral Sciences, Mathematics, or a related quantitative discipline.
  • Master's degree preferred.
  • Experience in lieu of education:
    Equivalent relevant experience performing the essential functions of this job may substitute for education degree requirements. Generally, equivalent relevant experience is defined as 1 year of experience for 1 year of education and is at the discretion of the hiring manager.
Experience
  • 5+ years of experience in data science, advanced analytics, decision intelligence, or a related field.
  • 2+ years of experience designing, deploying, and maintaining machine learning solutions in production environments.
  • Experience building and supporting data pipelines and operational workflows that enable scalable analytics and machine learning capabilities.
  • Demonstrated success developing decision models, analytical frameworks, or predictive systems that influence human behavior, business outcomes, or customer experiences.


Additional Information:
This position is based in the Raleigh office, 5 days a week.
This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.
#LI-JW1

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.


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