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

Data Product Architect

Morrisville, NC · Hybrid

$59.75 - $76.75/hr

Power BI Data Analyst Associate * Additional relevant industry certifications are highly welcomed. Education Bachelor's degree in computer science or management information systems. Minimum of five ...

... a pseudo data scientist or managing and directing offshore data science resources. Value ... associates. More information can be found at Qualifications: Bachelor's Degree and 6 years of ...

... a pseudo data scientist or managing and directing offshore data science resources. Value ... associates. More information can be found at Qualifications: Bachelor's Degree and 6 years of ...

UL Solutions is looking for an Associate Business Data Analyst to help develop data, analytics, and ... All in the name of safety science. That's where you come in - because none of it could happen ...

UL Solutions is looking for an Associate Business Data Analyst to help develop data, analytics, and ... Our science is your advantage. Our global network of 80+ laboratories is constantly evolving ...

Scientist I

Durham, NC · On-site

$84K - $115K/yr

Mentor and train junior scientists and associates. * Perform peer reviews of data and reports related to method development, qualification, and validation, as well as material characterization and ...

UL Solutions is looking for an Associate Business Data Analyst to help develop data, analytics, and ... Our science is your advantage. Our global network of 80+ laboratories is constantly evolving ...

Scientist I

Durham, NC

$84K - $115K/yr

Mentor and train junior scientists and associates. * Perform peer reviews of data and reports related to method development, qualification, and validation, as well as material characterization and ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Accurately recording, analyzing, and summarizing research data for informed decision-making ... Partner with Cook Room and Bottle Room Associates to ensure recipes are prepared, cooked, and ...

Accurately recording, analyzing, and summarizing research data for informed decision-making ... Partner with Cook Room and Bottle Room Associates to ensure recipes are prepared, cooked, and ...

... of data in determining the presence and absence of toxicology compounds. • Provide secondary ... an associate degree in medical laboratory science from an accredited college, or equivalent.

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Showing results 1-20

Associate Data Scientist information

See Raleigh, NC salary details

$55.9K

$66.1K

$125.4K

How much do associate data scientist jobs pay per year?

As of Jul 16, 2026, the average yearly pay for associate data scientist in Raleigh, NC is $66,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $57,800.00 per year, depending on experience, location, and employer.

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

AspectAssociate 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 science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as an Associate Data Scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What does an Associate Data Scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an Associate Data Scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What Does an Associate Data Scientist Do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

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 cities near Raleigh, NC are hiring for Associate Data Scientist jobs? Cities near Raleigh, NC with the most Associate Data Scientist job openings:
Infographic showing various Associate Data Scientist job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $66,135 per year, or $31.8 per hour.
Data Product Architect

Data Product Architect

NetApp

Morrisville, NC • Hybrid

$59.75 - $76.75/hr

Other

Posted 1 hour ago


Job description

Job Summary
NetApp seeks a dynamic and innovative Data Product Architect to join our Enterprise Data & Analytics team. In this position, you will convert raw data into actionable insights that enhance decision-making and improve customer outcomes within Customer Success Operations (CSOps) and Professional Services Operations (PSOps).
You will design scalable data models, build robust data pipelines, and explore cutting-edge technologies such as advanced analytics, data science, machine learning, and AI tools for coding, SQL generation, data modeling, and conversational analytics. Utilizing these technologies, you will create data products that automate workflows and strengthen decision-making. Your work will enable teams to harness data to boost operational efficiency, increase customer engagement, and elevate overall business performance.
At NetApp, we prioritize ownership, a growth mindset, customer focus, inclusivity, and high performance. We encourage applicants from diverse backgrounds and experiences, emphasizing skills and potential above traditional credentials. This hybrid role requires presence at the NetApp RTP office three days per week.
Key Responsibilities
Design and refine data models that effectively support enterprise analytics and reporting requirements. Establish clear data structures, define relationships, and set metadata standards to ensure scalability and optimal performance.
Construct, enhance, and assess data pipelines to produce reliable, production-ready systems. Employ tools such as Oracle Data Warehouse, Snowflake, HVR, and Informatica IICS to streamline workflows.
Harness AI technologies for coding assistance, SQL generation, data modeling, and conversational analytics. Create intelligent data products that automate workflows and improve decision-making processes.
Comprehend business needs within CSOps and PSOps, translating them into precise technical designs and architectural documentation. Align solutions with organizational goals while collaborating with cross-functional teams to deliver effective data-driven outcomes.
Implement Waterfall and Agile/Scrum methodologies throughout project lifecycles, ensuring adherence to compliance standards, especially concerning financial data and operational controls.
Job Requirements
Expertise in SQL, RESTful APIs, and Python, with NoSQL experience considered an advantage.
At least five years of experience working with data platforms such as Oracle Data Warehouse, Snowflake, and Informatica IICS.
A minimum of five years of practical Power BI experience, covering semantic modeling, DAX, dashboard creation, and enterprise-level reporting.
Proficient in Git-based version control and Azure DevOps CI/CD methodologies for efficient code management, deployment, and release processes.
At least two years of experience utilizing AI tools for coding, SQL generation, data modeling, and conversational analytics.
Outstanding written and verbal communication and presentation skills.
Strong analytical thinking and problem-solving capabilities.
Collaborate effectively with stakeholders including Project Managers, Delivery Managers, and Architects on both projects and operational tasks.
Demonstrated ability to work seamlessly within cross-functional teams and to influence stakeholders.
Preferred Certifications:
  • Snowflake: Snowflake SnowPro Core Certification
  • TOGAF: TOGAF 9 Certified or TOGAF Standard, Version 10 Certification
  • Power BI: Microsoft Certified: Power BI Data Analyst Associate
  • Additional relevant industry certifications are highly welcomed.
Education

Bachelor's degree in computer science or management information systems.

Minimum of five years of experience is required; 5 to 8 years of experience is preferred. including three or more years in Business Analytics or relevant domains.