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

CYNET SYSTEMS

Data Scientist

Cary, NC · On-site

$65 - $70/hr

Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a ... Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data ...

IT Automation LLC

Data Analyst

Raleigh, NC · On-site

$72K - $80K/yr

Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field. * 3+ years of experience in data analysis, with proficiency in Microsoft tools and Power BI. * Strong analytical ...

ClifyX

AI ML Data Scientist

Cary, NC · On-site

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 ...

IT Automation LLC

Data Analyst

Raleigh, NC · On-site

$72K - $80K/yr

Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field. * 3+ years of experience in data analysis, with proficiency in Microsoft tools and Power BI. * Strong analytical ...

Innosoul inc

Data Analyst

Raleigh, NC · On-site

Bachelor s degree in Computer Science, Information Technology, Health Informatics, or related field (or equivalent experience). Minimum of 3 years of experience as a technical analyst, data engineer ...

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 ...

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science, machine learning engineering with hands on experience in designing and deploying ML solutions in ...

Pwc

AI & GenAI Data Scientist-Director

Raleigh, NC · On-site

$155K - $410K/yr

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software ... Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems ...

CYNET SYSTEMS

Data Analyst

Raleigh, NC · On-site

$30 - $35/hr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Public Health, Business Analytics, or a related field preferred. * Equivalent combination of education and ...

Pendo

Sr. Data Scientist

Raleigh, NC · On-site

Sr. Data Scientist The team + the role Pendo's GTM Intelligence Team turns data into measurable ... We combine analysis, ML models, and internal tooling to answer high-value business questions and ...

Pendo

Sr. Data Scientist

Raleigh, NC · Hybrid

Sr. Data Scientist The team + the role Pendo's GTM Intelligence Team turns data into measurable ... We combine analysis, ML models, and internal tooling to answer high-value business questions and ...

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All JobsData Analyst Data Scientist JobsData Analyst Data Scientist Jobs in Raleigh, NC

Data Analyst Data Scientist information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do data analyst data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analyst data scientist in Raleigh, NC is $160,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,200.00 per year, depending on experience, location, and employer.

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

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

Can you go from a data analyst to a data scientist?

Yes, transitioning from a data analyst to a data scientist is common and often involves gaining advanced skills in machine learning, statistical modeling, and programming languages like Python or R. Many data scientists have backgrounds in data analysis but expand their expertise through additional training, certifications, or advanced degrees such as a master's in data science or related fields.

Can a data scientist work as a data analyst?

A data scientist can often work as a data analyst since both roles involve analyzing data, but data scientists typically have more advanced skills in machine learning, statistical modeling, and programming. Transitioning may require gaining experience with tools like SQL, Excel, and visualization software, and understanding business context. The roles can overlap, but data scientists usually handle more complex data modeling tasks than data analysts.

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.
What are popular job titles related to Data Analyst Data Scientist jobs in Raleigh, NC? For Data Analyst Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Scientist jobs in Raleigh, NC look for? The top searched job categories for Data Analyst Data Scientist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Analyst Data Scientist jobs? Cities near Raleigh, NC with the most Data Analyst Data Scientist job openings:
Data Analyst Data Scientist jobs near you
Infographic showing various Data Analyst Data Scientist job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $160,402 per year, or $77.1 per hour.

Data Scientist

CYNET SYSTEMS

Cary, NC • On-site

$65 - $70/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago

Job description

Job Overview:
Pay Range: $65.00hr - $70.00hr
Requirement/Must Have:
  • 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.
  • Strong understanding of statistics and mathematics for data analysis and prediction.
  • Ability to use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcomes.
  • Excellent communication and presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations, and results.
  • Strong problem-solving skills and ability to communicate effectively with stakeholders.
Responsibilities:
  • Take accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain.
  • Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases.
  • Analyze complex data sets to identify trends, patterns, and actionable insights that can inform business strategies.
  • Collaborate with stakeholders and cross-functional teams to develop and implement data-driven solutions.
  • Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.
  • 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 stay up to date with the latest advances in AI, Data Science, and Machine Learning.
  • Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures.
Skills:
  • Machine Learning.
  • Artificial Intelligence.
  • Python.
  • SQL.
  • GenAI.
  • Azure ML.
  • Power BI.
  • Dominos.
  • Predictive Modeling.
  • ML-Ops.
  • Data Analysis.
  • Statistics.
Qualification And Education:
  • Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field.
     
 

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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