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

PlanIT Group, LLC is seeking a Data Scientist to identify business trends and solve problems through complex data analysis. The role involves interpreting results from multiple sources, designing and ...

They are seeking an experienced Senior Data Scientist to join their high-performing team in Raleigh ... of junior staff members. Key Responsibilities Collaborating with engineering teams to build and ...

Embedded Data Scientist Full-time Morrisville, NC, US Exclusive confidential search -- details shared with qualified applicants. Become a Key Player as an Embedded Data Scientist You will develop and ...

Principal Data Scientist

Raleigh, NC ยท On-site +1

$147K - $243K/yr

S. Build data science solutions for business challenges including customer propensity, product forecasting, and recommender systems. Use machine learning, data mining, and statistical methods to ...

ClifyX is a company specializing in data science and analytics, and they are seeking an AI ML Data Scientist. The role requires expertise in predictive modeling and big data analytics, with a focus ...

Sr. Data Scientist The team + the role Pendo's GTM Intelligence Team turns data into measurable outcomes across Sales, Marketing, and Customer Engineering. We combine analysis, ML models, and ...

Principal Data Scientist I

Raleigh, NC ยท On-site

$118K - $219K/yr

Principal Data Scientist I Are you looking to develop your Data Scientist career? Would you like to be part of a team that innovates using technology? Responsibilities * Acting as a leader for ...

Title: Sr. Data Scientist II Location: Raleigh, NC Duration: Long Term Rate: W2 Only locals-F2F interview must Description: * Lead experimentation and model development for AI/ML solutions in legal ...

What You'll Do Epic Games is looking for a Senior Data Scientist to support the meta-progression systems area. You'll apply mixed methods to own the end-to-end life cycle of creating data assets ...

The Senior Data Scientist will work in a cross-functional team environment under the direction of the Ecosystem Director of Analytics. In addition to other responsibilities, this position will ...

Senior Data Scientist II

Raleigh, NC ยท On-site

$125K - $209K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of Agentic AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why ...

Senior Data Scientist II

Raleigh, NC ยท On-site

$125K - $209K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of Agentic AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why ...

Senior Data Scientist II

Raleigh, NC ยท On-site

$115K - $192K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of Agentic AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why ...

Showing results 21-40

Junior Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do junior data scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for junior data scientist 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 is a junior data scientist?

Junior Data Scientists are entry-level professionals who assist in analyzing and interpreting complex data to help organizations make informed decisions. They are typically responsible for tasks such as data cleaning, exploratory data analysis, creating basic models, and supporting senior data scientists. Junior Data Scientists often work with tools like Python, R, SQL, and data visualization libraries. They collaborate with other team members to translate business problems into analytical solutions and continuously develop their technical and analytical skills.

What skills and qualifications are needed to thrive as a junior data scientist?

A Junior Data Scientist needs a solid understanding of statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in mathematics, computer science, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn), and database systems (SQL) is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills help distinguish individuals in this role. These competencies are essential for extracting insights from data, collaborating with teams, and driving data-informed decision-making.

What types of projects does a junior data scientist typically work on, and how do they contribute to larger team goals?

Junior Data Scientists often work on data cleaning, exploratory data analysis, and supporting the development and testing of machine learning models. They usually collaborate with senior data scientists and data engineers, contributing by preparing datasets, running analyses, and creating visualizations to help inform business decisions. This role offers valuable exposure to real-world data challenges and provides opportunities to learn best practices in data science, paving the way for advancement to more complex modeling and project leadership as experience grows.

What is the difference between Junior Data Scientist vs Data Analyst?

AspectJunior Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and advanced analyticsFocuses on data cleaning, visualization, and reporting; often works with business teams
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Junior Data Scientists and Data Analysts often share educational backgrounds and work in data-driven industries. However, Junior Data Scientists typically engage in more complex modeling and machine learning tasks, while Data Analysts focus on data visualization and reporting. Both roles are essential for data teams but differ in technical depth and responsibilities.

How do I become a junior data scientist?

To become a junior data scientist, you typically need a bachelor's degree in a related field such as computer science, statistics, or mathematics. Gaining skills in programming languages like Python or R, understanding data analysis, and familiarity with tools like SQL and machine learning frameworks are essential. Internships or entry-level projects can also help build practical experience.

What are the most commonly searched types of Data Scientist jobs in Raleigh, NC?

The most popular types of Data Scientist jobs in Raleigh, NC are:

What are popular job titles related to Junior Data Scientist jobs in Raleigh, NC?

For Junior Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:

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

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

Infographic showing various Junior 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Data Scientist

PlanIT Group, LLC

Raleigh, NC โ€ข On-site

Full-time

Re-posted 15 days ago


Job description

Job Summary:
PlanIT Group, LLC is seeking a Data Scientist to identify business trends and solve problems through complex data analysis. The role involves interpreting results from multiple sources, designing and implementing business solutions, and preparing data for analysis.
Responsibilities:
โ€ข Identifies business trends and problems through complex big data analysis.
โ€ข Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently.
โ€ข Designs, develops and implements the most valuable business solutions for the organization.
โ€ข Prepares big data, implements data models and develops database to support the business solutions.
โ€ข Task #1: Data Analysis and Visualization Development
โ€ข Deliverables will be tailored to each project and may include:
โ€ข Rapid analysis scripts
โ€ข Visualization prototypes / models
โ€ข Interactive dashboards
โ€ข Visioning session materials
โ€ข Analysis reports and presentations
โ€ข Project plans and documentation
โ€ข The deliverable shall meet the following acceptance criteria in addition to compliance with the technical approach outlined below:
โ€ข Analysis techniques are appropriate for the given need and available data
โ€ข Project timelines are met within a reasonable variance due to uncertainty of the individual project
โ€ข Project documentation is accurate to the analysis findings and free of grammatical errors
โ€ข Products meet the Business Unit's needs and are usable by the Business Unit with minimal training
โ€ข Task #2: Modeling and Optimization
โ€ข Deliverables are project-dependent and may include:
โ€ข Mathematical optimization models
โ€ข Source code and/or scripting
โ€ข Translational documentation for use in analytical and visualization product development
โ€ข Proposal presentations
โ€ข Project result documentation and presentations
โ€ข The deliverable must meet the following acceptance criteria in addition to compliance with the technical approach outlined below:
โ€ข Model parameters and functions are appropriate for the given need and available data
โ€ข Project timelines are met within a reasonable variance due to uncertainty of the individual project
โ€ข Project documentation is accurate to the analysis findings and free of grammatical errors
โ€ข Products meet the Business Unit's needs and are usable by the Business Unit with minimal training
Qualifications:
Required:
โ€ข Minimum of 13 full years of experience with a degree.
โ€ข Minimum of 17 years of experience without a degree.
โ€ข Some academic criteria for data science โ€“ Ex. Data science, statistics, or experimental psych.
โ€ข Good communication skills.
โ€ข Proven ability to work in a variety of industries, indicating ability to be a quick study when confronted with the complex environment.
Preferred:
โ€ข A degree from an accredited College/University in the applicable field of services is preferred.
โ€ข Skilled in SQL, Python or R, preferably both.
Company:
PlanIT Group is an IT and engineering professional services company which provides top-tier talent to various commercial and government customers. Founded in 2010, the company is headquartered in Charlotte, USA, with a team of 51-200 employees. The company is currently Growth Stage.