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Data Science Developer Jobs in North Carolina (NOW HIRING)

... engineers to align solutions with user needs. • Mentor team members and provide technical leadership in data science and AI. Required Qualifications: • 7-10+ years of data science experience ...

... engineering, and business teams to deliver scalable AI solutions. Required Qualifications: • 10+ years of Data Science experience. • 5+ years of recent hands-on experience with Generative AI ...

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Data Science Tester Job Location : Charlotte, NC (ONSITE) Job Type : Full-Time Must Have Technical ... Nice to Haves • Experience with large-scale enterprise analytics or developer productivity ...

Collaborate with data engineers to design ETL pipelines and ensure data availability and ... Work with stakeholders to translate business objectives into data science solutions and actionable ...

Associate Data Scientist

Charlotte, NC · On-site

$57K - $58K/yr

Bachelor's degree in Data Analytics, Data Science, Statistics, Mathematics, Computer Science, Engineering, Information Systems, Economics, or a related quantitative field * 0-2 years of relevant ...

Charlotte, NC Job Duration: Long-Term We need candidates with a traditional Data Science mindset, a ... engineering position the person won't own MLOps responsibilities directly. Main thing is that ...

Translate business challenges into data science solutions. Partner with Product, Engineering, Analytics, and Business teams to define model requirements, success metrics, and production-ready ...

Translate business challenges into data science solutions. Partner with Product, Engineering, Analytics, and Business teams to define model requirements, success metrics, and production-ready ...

Data Scientist

Charlotte, NC · On-site

$96K - $121K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or equivalent experience * 4+ years of experience with programming languages, like Python or R ...

... science, math, and physics * Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib Skills: * Agile Practices * Application Development * DevOps Practices * Technical ...

Data Scientist

Charlotte, NC · On-site

$96K - $121K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or equivalent experience * 4+ years of experience with programming languages, like Python or R ...

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Showing results 41-60

Data Science Developer information

See North Carolina salary details

$15

$51

$74

How much do data science developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data science developer in North Carolina is $51.63, according to ZipRecruiter salary data. Most workers in this role earn between $42.40 and $61.15 per hour, depending on experience, location, and employer.

What is a data science developer?

A Data Science Developer is a professional who combines expertise in programming, statistics, and data analysis to build models and algorithms that extract insights from large datasets. They often work with machine learning techniques, data visualization, and various data processing tools to solve business problems. Data Science Developers collaborate with other teams to design and implement data-driven solutions, and are skilled in languages like Python, R, or Scala. Their work is essential for organizations looking to leverage data for decision-making and innovation.

What are some common challenges data science developers face when integrating models into production environments?

Data Science Developers often encounter challenges in bridging the gap between developing models in experimental settings and deploying them into scalable, reliable production systems. Issues such as data inconsistencies, version control, and ensuring model reproducibility can arise. Additionally, collaborating effectively with DevOps and engineering teams to automate deployment pipelines and monitor model performance is crucial for long-term success. Understanding both machine learning and software engineering best practices helps overcome these hurdles and ensures smooth, efficient integration.

What are the key skills and qualifications needed to thrive as a data science developer, and why are they important?

To thrive as a Data Science Developer, you need strong expertise in statistics, machine learning, programming (Python, R), and a background in computer science or a related quantitative field. Familiarity with data analysis tools (such as Pandas, NumPy, and scikit-learn), cloud platforms (like AWS or Azure), and experience with databases (SQL/NoSQL) are typically required, and certifications like Microsoft Certified: Azure Data Scientist Associate can be beneficial. Strong problem-solving skills, effective communication, and the ability to collaborate with cross-functional teams help you stand out. These skills are essential for building data-driven solutions that translate complex data into actionable business insights.

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

AspectData Science DeveloperData Analyst
Required SkillsProgramming, machine learning, data modelingData visualization, statistical analysis, reporting
CertificationsData Science certifications, Python/R expertiseExcel, SQL, Tableau certifications
Work EnvironmentTech companies, startups, R&D teamsBusiness departments, marketing, finance
Job FocusDeveloping algorithms, predictive modelsInterpreting data, generating reports

While both roles analyze data, Data Science Developers focus on building models and algorithms to solve complex problems, often requiring programming and machine learning skills. Data Analysts primarily interpret existing data sets to generate insights and reports for business decisions. The roles overlap in data handling but differ in technical depth and objectives.

What are popular job titles related to Data Science Developer jobs in North Carolina?

For Data Science Developer jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Data Science Developer jobs in North Carolina look for?

The top searched job categories for Data Science Developer jobs in North Carolina are:

Infographic showing various Data Science Developer job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $107,394 per year, or $51.6 per hour.

Data Scientist

Compunnel

Raleigh, NC • On-site

Contractor

Posted 20 days ago


Job description

Job Summary:
We are seeking a Senior Data Scientist to lead the design and validation of AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex legal workflows. You will drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions.
Key Responsibilities:
• Lead experimentation and model development for AI/ML solutions in legal products.
• Design and evaluate NLP, LLM, and generative AI approaches, including RAG and prompt strategies.
• Define agentic workflows and reasoning strategies for multi-step legal tasks.
• Define retrieval strategies, including hybrid search combining semantic and lexical approaches, and evaluation metrics such as relevance and ranking quality.
• Analyze large-scale legal datasets to extract insights and improve model performance.
• Establish best practices for model evaluation, validation, and benchmarking.
• Translate experimental results into clear product recommendations and business impact.
• Collaborate with product, legal experts, and engineers to align solutions with user needs.
• Mentor team members and provide technical leadership in data science and AI.
Required Qualifications:
• 7-10+ years of data science experience, with a career foundation in NLP and the past 4-5 years focused strongly on Generative AI data science.
• Experience designing agentic workflows and applying generative AI techniques, including prompt engineering and end-to-end RAG system development.
• Strong experience working with unstructured data, including text and documents, document processing, NLP, embeddings, retrieval, and agentic systems.
• Strong experience creating production-grade ML systems at scale.
• Strong LLM, Generative AI, and RAG deployment experience, including implementation and end-to-end evaluation.
• Experience with the complete deployment lifecycle, including product development, production maintenance, and new feature development.
• Experience working alongside ML engineers throughout the production deployment and lifecycle.
• Strong Python programming skills.

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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