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Associate Data Science Analyst Jobs in Raleigh, NC

Redhat

Principal Data Analyst

Raleigh, NC · On-site +1

$125K - $180K/yr

Consult data consumers, analysts and data scientists on navigating data sources and interpreting ... Spread across 40+ countries, our associates work flexibly across work environments, from in-office ...

Red Hat, Inc.

Principal Data Analyst

Raleigh, NC · On-site

$126 - $180/hr

Consult data consumers, analysts and data scientists on navigating data sources and interpreting ... Spread across 40+ countries, our associates work flexibly across work environments, from in-office ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

LexisNexis Legal & Professional, part of RELX, provides information-based analytics and decision tools for professional and business customers. They are seeking a Senior Data Scientist to lead AI and ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

LexisNexis Legal & Professional, part of RELX, provides information-based analytics and decision tools for professional and business customers. They are seeking a Senior Data Scientist to lead AI and ...

Q2 Software, Inc.

Senior Data Scientist

Cary, NC · On-site

... data science projects from exploration to deployment. You will help build and operate production systems that power the analytics and insights uncovered from one of the world's largest commercial ...

Q2

Senior Data Scientist

Cary, NC · Hybrid

... data science projects from exploration to deployment. You will help build and operate production systems that power the analytics and insights uncovered from one of the world's largest commercial ...

Triwill Group

Sr. Data Scientist

Raleigh, NC · On-site

$133 - $160/hr

Must-haves * 2-4 years of experience in data science, analytics, or a related quantitative field * Bachelor's or master's education in STEM (science, technology, engineering, math) field * Experience ...

NextDeavor Inc.

Embedded Data Scientist

Morrisville, NC · On-site

$130K - $150K/yr

Train, characterize, and analyze model predictive performance against ground truth * Explore and ... Bachelor's degree in Mathematics, Data Science, Computer Science, Computer Engineering, or a ...

Town of Chapel Hill

HOUSING DATA ANALYST

Chapel Hill, NC · On-site

$67K - $88K/yr

Knowledge of data science and analytics Knowledge of housing concepts and performance measures Skills in data integration, system design, analytics and dashboard/report development using Power BI ...

Synopsys

Data Science, Sr Staff

Raleigh, NC · On-site

$110 - $160/hr

In this role, you will work across the full analytics lifecycle, from building robust data ... Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related ...

Damco Solutions

Databricks Data Specialist

Raleigh, NC · On-site

Required : • Strong understanding of data science concepts, including statistical learning and ... Data Analyst Associate Certification Company : Damco Solutions is a provider of IT solutions, ...

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Showing results 41-60

All JobsAssociate Data Science Analyst JobsAssociate Data Science Analyst Jobs in Raleigh, NC

Associate Data Science Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do associate data science analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for associate data science analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What does an associate data science analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.

What are the key skills and qualifications needed to thrive as an associate data science analyst, and why are they important?

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What types of projects and datasets do associate data science analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

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

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What can I do with an associate data science analyst's degree in data science?

An associate data science analyst's degree prepares individuals for entry-level roles such as data analyst, data technician, or business intelligence assistant. These roles involve collecting, cleaning, and analyzing data using tools like Excel, SQL, and basic programming languages such as Python or R. The degree provides foundational skills for working in data-driven environments and can lead to further specialization or advancement in data science careers.

What cities near Raleigh, NC are hiring for Associate Data Science Analyst jobs?

Cities near Raleigh, NC with the most Associate Data Science Analyst job openings:

Associate Data Science Analyst jobs near you

Sr Data scientists corp to corp jobs urgent need

Tech Mirrors

Cary, NC • On-site

$130 - $210/hr

Other

Posted 10 days ago

Job description

Role: Sr Data scientists

Local to Cary NC only

Key Responsibilities
  • Team Leadership: Lead the solution and a team of data scientists delivering AI and ML solution for marketing and business engagement use cases
  • Ownership: Accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain.
  • Planning and Business alignment: Lead the planning and execution of data science use cases, ensuring alignment with business goals and objectives.
  • Model Development: Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases
  • Data Analysis: Analyze complex data sets to identify trends, patterns, and actionable insights that can inform business strategies.
  • Collaboration: Collaborate with stakeholders and cross-functional teams to develop and implement data-driven solutions.
  • Platform Integration: Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.
  • Stakeholder Communication: Visualize data, create reports, and present findings to senior management and cross-functional teams.
  • Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure).
  • Research and Innovation: Stay up to date with the latest advances in AI, Data Science, and Machine Learning.
  • ML-Ops Best Practices: Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures.
Essential Business Experience and Technical Skills Required
  • Bachelor’s or master’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
  • 8+ years of overall experience in AI/ML engineering and/or data science.
  • 5+ years of insurance business and/or financial industry experience with sales, marketing, and/or customer engagement analytics.
  • Proven experience designing, deploying, and operating production ML and/or GenAI solutions, including APIs, batch, and real-time inference.
  • Experience in developing Machine Learning models using Python (preferably in the cloud)
  • Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitoring.
  • Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysis.
  • Experience with Dominos, Power BI, and/or Azure ML
  • Statistical Knowledge: A strong understanding of statistics and mathematics is essential for data analysis and prediction.
  • Use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcomes
  • Very good presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations & results
  • Very good problem solver and excellent communication skills – both written and verbal
Preferred
  • Experience with employee benefits plans is a plus
  • Hands-on experience with cloud platforms (Azure/Databricks).
  • Hands-on expertise with Retrieval-Augmented Generation (RAG) architectures, including integrating external data sources and vector databases to enhance LLM outputs.
  • Strong understanding of prompt engineering, fine-tuning, and evaluation of generative models for real-world applications.
  • Ability to build, optimize, and scale GenAI pipelines for tasks such as document Q&A, summarization, chatbots, and knowledge retrieval.
Essential Skills: Data Science Desirable Skills

Keyword: Skills: Digital : Data Science

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